The Jnit Technologies Data Engineer interview guide, interview questions, salary data, and interview experiences.

Jnit Technologies Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Jnit Technologies? The Jnit Technologies Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Jnit Technologies Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Jnit Technologies.</li>
<li>Practice real Jnit Technologies Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Jnit Technologies Data Engineer interview.


Getting ready for an Data Engineer interview at Jnit Technologies? The Jnit Technologies Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Jnit Technologies Data Engineer roles.
- Gain insights into the Data Engineer interview process at Jnit Technologies.
- Practice real Jnit Technologies Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Jnit Technologies Data Engineer interview.
        

Overview

What Jnit Technologies Looks for in a Data Engineer

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Jnit Technologies Data Engineer Interview Process

Interview Tips

You are tasked with keeping track of a customer’s addresses in your database.

However, customer’s addresses change whenever they move. We want to keep track of their moving history as well as the person that moves in afterwards.

How would you create or modify a schema to keep track of these address changes?

Create a schema to keep track of customer address changes

Address Schema

Data Modeling

You work as a data engineer for a city-wide bicycle rental company. The company wants to predict future bicycle rental volumes using historical data collected from multiple sources, such as station logs, weather files, and event schedules. You are given access to raw source files that are updated daily.

How would you design an end-to-end data pipeline to prepare and serve data for downstream predictive modeling of bicycle rental demand?

Design an end-to-end data pipeline to process and serve data for predicting bicycle rental volumes.

Bicycle Rental Data Pipeline

Batch & Stream Processing

Let’s say Accenture has a data pipeline that ingests raw sales data from multiple retail clients, processing 10 million records each night to generate daily sales dashboards for client teams. For the past week, the pipeline has been consistently failing at the data transformation stage.

How would you go about systematically diagnosing and resolving the root cause of these failures?

How would you systematically diagnose and resolve repeated failures in a nightly data transformation pipeline?

Pipeline Transformation Failures

Jnit Technologies Data Engineer Interview Questions

About Convatec Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Convatec’s revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). To learn more please visit http://www.convatecgroup.com Position Overview The AI Data Engineer plays a critical role within Convatec’s AI Centre of Excellence (CoE), supporting the design, build, and deployment of data and AI workflows that power intelligent automation and data-driven decision-making across the enterprise. This hands-on position focuses on building scalable data pipelines, integrating AI services, and ensuring data readiness for advanced analytics and AI solutions. The AI Data Engineer will work closely with AI Engineers, Data Scientists, and platform specialists to ensure reliable and efficient data flow across Convatec’s Azure-based ecosystem, including Microsoft Fabric, Azure Data Factory, Synapse, and Azure AI Services. This role is ideal for someone with solid experience in data engineering or applied AI who thrives in a collaborative environment, enjoys problem-solving, and is eager to contribute to Convatec’s journey toward becoming an AI-enabled enterprise. Key responsibilities and authority Data & AI Engineering <ul><li>Design, build, and maintain data pipelines using Azure Data Factory, Microsoft Fabric, and Synapse to support AI and analytics workloads.</li><li>Prepare and transform data for AI model training, inference, and retrieval workflows.</li><li>Implement and maintain Lakehouse data models (Delta/Parquet) following Medallion architecture principles.</li><li>Collaborate with AI Engineers to ensure seamless data flow between enterprise systems, APIs, and AI models. </li></ul>AI Integration & Deployment <ul><li>Use Azure Machine Learning, Azure OpenAI, and Cognitive Services to integrate and operationalize AI solutions.</li><li>Develop and test data interfaces and lightweight microservices connecting AI models to business processes.</li><li>Support deployment, monitoring, and performance optimization of AI and automation workflows in production environments.</li><li>Contribute to the setup and maintenance of retrieval-augmented generation (RAG) pipelines and agent-based automation frameworks. </li></ul>Automation & DevOps <ul><li>Use Git and Azure DevOps for version control, CI/CD automation, and deployment of data and AI assets.</li><li>Contribute to Infrastructure-as-Code (IaC) practices using Bicep or Terraform for repeatable deployments.</li><li>Support data and AI governance by documenting processes, lineage, and configuration details to ensure compliance and reusability. </li></ul>Collaboration & Continuous Learning <ul><li>Work closely with AI, BI, and DevOps teams to deliver integrated, business-ready solutions.</li><li>Translate stakeholder and project requirements into robust, scalable data and AI components.</li><li>Contribute to internal documentation, knowledge sharing, and upskilling initiatives within the AI CoE.</li><li>Stay current with emerging technologies in AI agents, automation, and data platforms </li></ul>Key Requirements Essential: <ul><li>3–6 years’ experience in data engineering, applied AI, or related technical roles.</li><li>Proficiency with Azure Data Factory, Microsoft Fabric, or Synapse Analytics.</li><li>Strong programming skills in Python and SQL for data manipulation and API interaction.</li><li>Understanding of Lakehouse and Medallion architectures, including Parquet, Delta, and JSON data formats.</li><li>Familiarity with Azure AI Services, including Azure ML, Azure OpenAI, and Cognitive Services.</li><li>Experience using Git and Azure DevOps for source control and workflow automation.</li><li>Strong analytical, debugging, and problem-solving abilities with attention to detail.</li><li>Desirable</li><li>Exposure to Power BI, Dataverse, or data mesh concepts.</li><li>Experience with API development, containerization (Docker), or MLOps practices.</li><li>Interest in AI agent frameworks, prompt engineering, or retrieval-augmented generation (RAG) workflows. </li></ul>Soft Skills & Attributes <ul><li>Curious, adaptable, and eager to learn new tools and technologies.</li><li>Effective communicator who enjoys collaborating across teams and disciplines.</li><li>Proactive, structured, and committed to delivering high-quality, reliable data solutions.</li><li>Thrives in a fast-evolving environment and embraces continuous improvement. </li></ul>Education/ Qualifications <ul><li> Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.</li><li> Relevant certifications in Azure Data Engineering or AI/ML highly desirable. </li></ul>Languages <ul><li>Speaking: Yes English* </li><li>Writing/Reading: Yes English* </li><li>additional languages as required or nice to have </li></ul>Working conditions Hybrid working 1 number of days per week in the office driven by business requirements as Convatec has a flexible approach to office working. Our products make a big difference every day. So will your contribution. The work you do will mean more, because it’ll make things better for your team, our business or our customers’ lives. It’ll inspire you to deliver to your very best. And we’ll be right behind you when you do. This is a challenge more worthwhile. This is work that’ll move you. #ForeverCaring Beware of scams online or from individuals claiming to represent Convatec A formal recruitment process is required for all our opportunities prior to any offer of employment. This will include an interview confirmed by an official Convatec email address. If you receive a suspicious approach over social media, text message, email or phone call about recruitment at Convatec, do not disclose any personal information or pay any fees whatsoever. If you’re unsure, please contact us at careers@Convatec.com. Equal opportunities Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law. Notice to Agency and Search Firm Representatives Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Convatec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. Already a Convatec employee? If you are an active employee at Convatec, please do not apply here. Go to the Career Worklet on your Workday home page and View "Convatec Internal Career Site - Find Jobs". Thank you!

Job Description:Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space and Security (BDS) is seeking an Advanced Information Technologist - Cloud Data Engineer to join our Data Analytics Engineering & Integration team in Ridley Park, PA; Seattle, WA; Arlington, VA; San Diego, CA; Long Beach, CA; Mesa, AZ; or Hazelwood, MO. The Solutions team is responsible for ensuring that solution datasets are discoverable, secure, performant, and reliably delivered to downstream consumers to enable analytics, operations, and program decisioning across BDS. Role Summary: As an Advanced Information Technologist - Cloud Data Engineer focused on the solutions space, you will own both DBaaS/platform lifecycle and consumer-facing dataset delivery. You will provision and operate DBaaS instances, implement dataset provisioning and access patterns, optimize query performance, enforce security/compliance (including GovCloud constraints), and collaborate with data architects to design, operationalize, and govern enterprise data ontologies and canonical models that enable consistent semantics and discoverability. Position Responsibilities Participate in all aspects of agile delivery, including design, implementation, testing, and deployment of solution-space features and operational tooling. Own provisioning, configuration, scaling, tuning, patching, backup/restore, and lifecycle management of DBaaS instances that host solution data (e.g., RDS/Aurora or equivalent), including capacity planning, disaster recovery, and incident response. Implement and maintain dataset provisioning and delivery processes (cataloging, access controls, dataset packaging, freshness/latency SLAs) to support downstream consumers and integrations. Optimize consumer performance and cost-to-serve through data layout and query optimization (indexing, partitioning, materialized views, caching) and by advising solution owners on access/query patterns. Design, implement, and operationalize enterprise data ontologies and canonical models: create semantic models, map solution datasets to ontologies, enforce taxonomy/versioning, and partner with governance for discoverability and lineage. Design and enforce authorization models: implement RBAC for role-level permissions and ABAC for fine-grained, attribute-driven policies (dataset sensitivity, clearance, environment, ontology tags), integrated via a centralized policy engine. Build and maintain Infrastructure-as-Code (Terraform) and CI/CD for DB and dataset lifecycle changes; automate entitlement provisioning and deprovisioning workflows; author runbooks and participate in on-call rotations. Enforce security, compliance, and GovCloud requirements: manage RBAC/ABAC controls, encryption at rest/in transit, auditing and immutable logging, data classification/tags, masking/anonymization where required, and periodic access attestation. Integrate policy & observability: centralize policy evaluation, instrument audit logs and alerts for policy decisions and anomalous access, and include policy tests in pipelines. Design, deploy, and maintain data integrations and operational patterns within enterprise data platforms (e.g., Palantir Foundry) where applicable, including dataset modeling, Foundry Ontology alignment, transforms, and operationalization. Provide stakeholder support: advise solution owners on SLAs, access patterns, and best practices; validate consumer requirements; perform dataset handoffs and document usage guides. Continuously review and recommend platform improvements to improve reliability, security, performance, and cost efficiency. Work arrangement and clearance This position is hybrid. The selected candidate will be required to perform 1 day per week onsite at one of the listed location options. This requirement is at the hiring team's discretion and could change in the future. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is preferred. Basic Qualifications (Required Skills/Experience) 3years of experience in data engineering or cloud data platform operations with hands-on experience managing cloud managed databases/DBaaS (e.g., AWS RDS/Aurora) and delivering datasets to downstream consumers. Practical experience implementing Infrastructure-as-Code (Terraform) for DB and dataset provisioning and lifecycle management. Proficiency in Python and SQL for automation, operational tooling, and query optimization. Experience with version control and CI/CD pipelines (e.g., GitLab CI/CD) and containerization (Docker, Kubernetes). Demonstrated experience with backups/DR, performance tuning, capacity planning, runbooks, and production incident response for DB-backed services. Experience translating consumer requirements into dataset provisioning, access specifications, and SLAs (freshness, latency, availability). Working knowledge of access control models and enforcement (RBAC) and practical exposure to attribute-based or policy-driven controls (ABAC or equivalent). Experience implementing security/compliance controls for data (encryption, auditing/logging, data classification, masking/anonymization) in cloud or hybrid environments. Technical Bachelor's degree or equivalent experience. Preferred Qualifications (Highly Preferred / Desired) Highly preferred: Hands-on experience with Palantir Foundry (dataset design, Foundry Ontology, Transforms, Code Repositories) and operational dataset patterns. Highly preferred: Practical experience designing, implementing, and operationalizing data ontologies, canonical models, semantic layers, or knowledge graphs to improve discoverability, lineage, and reuse. Preferred: Experience implementing RBAC ABAC (or policy engine-based controls) end-to-end, including attribute/tag definitions, centralized policy evaluation (e.g., OPA, IAM condition keys, Foundry policies), entitlement workflows, and access attestation. Preferred: Experience operating in AWS GovCloud or other regulated cloud environments and applying compliance controls in cloud deployments. Preferred: Experience optimizing consumer performance (indexing, partitioning, materialized views, caching) and cost-to-serve tradeoffs for query-heavy consumption workloads. Preferred: Experience implementing observability for access and policy decisions (audit logging, alerting on anomalous access, policy denial metrics) and integrating those signals into incident response. Preferred: Experience in aviation, defense, or other regulated industries and working in large matrixed organizations. Preferred: Advanced degree or relevant certifications (e.g., AWS Specialty certs, Certified Data Management Professional, Palantir Foundry training) a plus. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Drug-Free Workplace: Boeing is a Drug-Free Workplace where post-offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies. Shift: This position is for 1st shift Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $105,400 - $152,950 Applications for this position will be accepted until Dec. 01, 2025Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Location London Business Area Data Ref # 10047915 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients—around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology—quickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape. Our Team The Private Deals Data team is responsible for Bloomberg’s private transactions data model—an essential foundation for understanding global private markets. This data defines and enriches private companies, linking them to. Private company data plays a critical role in research, investment analysis, compliance, and due diligence. Integrating diverse datasets with our core private company data helps clients uncover insights, validate exposures, monitor evolving risks, and identify new opportunities in opaque and fast-growing markets. The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines, models, and integrations that power Bloomberg’s private company data ecosystem. This role focuses on embedding M&A and Private Market data into Bloomberg’s semantic model and analytical frameworks such as BQL—enabling richer discoverability and seamless integration across client workflows. You will develop robust ETL processes, manage schema mappings, and implement scalable data transformations to ensure consistency and reliability. You’ll also contribute to enhancing Bloomberg’s private company valuation product by extending the data model, implementing versioning, and ensuring data provenance is fully traceable. Working closely with Product, Engineering, and Data teams, you’ll play a central role in shaping the technical foundation that underpins Bloomberg’s evolving private market offerings. You Will <ul><li>Design, build, and maintain data pipelines and models to integrate M&A and Private data into Bloomberg’s semantic model and BQL.</li><li>Perform schema mapping, normalization, and transformation to align diverse datasets with internal standards.</li><li>Implement scalable ETL processes ensuring completeness, accuracy, and transparency of data.</li><li>Extend the valuation data model to support company-level valuations, versioning, and auditability.</li><li>Partner with Product and Data teams to define and implement data quality and consistency checks.</li><li>Develop documentation and reusable frameworks for data ingestion and integration. </li><li>Support discoverability and search capabilities by ensuring data is optimized for BQL and function-layer exposure.</li><li>Contribute to continuous improvement of data engineering practices and tools. </li></ul>You’ll Need To Have <ul><li>We use years of experience as a guide but will consider all candidates who can demonstrate the </li></ul>Required Skills. <ul><li>3+ years of experience in data engineering, software engineering, or related fields. </li><li>Strong programming skills in Python, Java, or Scala, with proficiency in data processing frameworks (e.g., Spark, Flink, or Beam).</li><li>Solid understanding of data modeling, schema design, and ETL architecture.</li><li>Experience working with relational and columnar data stores (e.g., SQL, Postgres,BigQuery).</li><li>Familiarity with semantic data models or knowledge graphs. </li><li>Understanding of data versioning, provenance tracking, and metadata management. </li><li>Strong problem-solving and debugging skills with attention to scalability and performance.</li><li>Comfort working in collaborative, cross-functional environments. </li></ul>We’d Love To See <ul><li>Experience integrating financial or private market data. </li><li>Familiarity with Bloomberg Query Language (BQL) or similar query interfaces. </li><li>Understanding of valuation data, company financials, or transaction modeling. </li><li>Experience working in Agile teams. </li><li>Passion for building high-quality, transparent, and auditable data systems. </li></ul>Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are seeking a high-impact Senior Software/Data Engineer to join the Autonomy Data, Tools and ML Infra Team to build and enhance our Evaluation Platform. We use this mission-critical platform to quantify and validate the performance of our autonomy system, using both a simulation environment and real data from vehicles. We perform this evaluation as part of the general software development process and also before releasing software to the customer vehicle fleet in over-the-air updates. We are expanding this team to improve our evaluation capability, directly supporting the rapid growth of the number of Rivian vehicles on the road and the launch of new, sophisticated autonomy features. Your insights and platform improvements will be instrumental in driving the performance roadmap across the entire Autonomy team, providing the single source of truth for system readiness and fleet deployment. Your work will directly influence the readiness of our software for millions of miles of real-world driving. Responsibilities <ul><li>Build reliable tooling components (Python packages, Docker images) and pipelines (Gitlab CI, Databricks) that can be used across the Autonomy team to standardize metrics and store them in a common location.</li><li>Gain a deep understanding of how our performance metrics are calculated, ensuring that pairs of leading/lagging metrics use a consistent methodology supported by automated testing.</li><li>Propose, design and implement new metrics to close gaps in our evaluation process.</li><li>Contribute to the continuous development of tooling (e.g., Cursor and MCP servers) to increase developer velocity and integrate with Rivian systems.</li><li>Collaborate closely with colleagues in our offices in California and Serbia, acting as a key technical liaison to gather requirements and drive adoption of the platform.</li><li>Demonstrate strong organizational skills to manage multiple projects, meet deadlines, and deliver high-quality results.</li><li>Support the team’s on-call rotation for any operationally critical systems. </li></ul>Pay Disclosure <ul><li>5+ years of professional software engineering experience, with a significant focus on data engineering.</li><li>Strong experience in Python for backend services, data processing, and cloud tooling.</li><li>Proficiency in building, testing, and optimizing production-grade data pipelines using tools such as Databricks, Spark (PySpark/Scala), and SQL.</li><li>Experience implementing and managing continuous integration and delivery (CI/CD) pipelines (e.g., GitLab CI) and using Docker for containerization.</li><li>Experience designing, deploying, and maintaining systems using core AWS services (e.g., S3, EC2, Lambda) and understanding of cloud-native architecture.</li><li>Familiarity with autonomous systems development (e.g., perception, planning, control) or relevant domains such as robotics, simulation, or verification/validation.</li><li>Proven ability to debug and root-cause issues systematically. </li></ul>Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.

Role-Data EngineerLocation- Bournemouth, UK (Onsite)Employment type - Permanent Data Engineer with AIML(LLM, Agentic AI) & Python experience • AIML, Machine Learning & Data Science.• Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation.• Agentic AI, CoPilot, MCPs.• AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means)• Python (NLTK, NumPy, Scikit-learn, Pandas) Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions for Test Generation, Test Prioritization, Defect Triage/Reporting, Code Coverage, Framework Migration/Setup. The role requires experience in AIML(LLMs, Gen AI & Agentic AI) & Python. The role will require proficiency in all aspects of AIML & Software Development including:• Knowledge of AIML & Python is must.• Ability to develop and implement Generative AI & Retrieval Augmented Generation solutions focused on software testing.• Experience with Large Language Models(GPT, Claude).• Hands- on experience with GitHub Copilot.• Must be a regular user of Agentic AI solutions and MCPs.• Deployment experience with Docker & Kubernetes to deploy the AIML solutions is good to have.• Front End experience in React to build front end for the AIML solutions is a plus.• Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas).• Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred.• Experience with building, training & finetuning AIML models is a plus.• Bachelor’s degree in Computer Science or related field of study or equivalent relevant experience; demonstrated experience of Data Science & AIML with focus on quality assurance solutions.• Lifecycle principles and quality assurance processes and methodologies.• Experience with automated testing with good understanding of test automation frameworks.• Good grasp of SQLs.• Experience of working in an Agile environment, participating in sprint planning, backlog refinement, and retrospectives.• Must have excellent verbal and written skills being able to communicate effectively on both a technical and business level.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We're hiring a high-impact Senior Software/Data Engineer to join our Autonomy Data, Tools and ML Infra Team. Your main focus will be to build and scale our analytics data platform and pipelines using Databricks. Our data platform processes petabytes of telemetry data from the vehicle fleet, enabling the Autonomy team to triage issues, calculate metrics and perform analysis We are expanding the team because our data volumes will grow rapidly as we produce more vehicles and launch more sophisticated autonomy features. Your insights and improvements will be instrumental in providing accurate and up-to-date data for all our analysis and evaluation activities. Your work will directly influence the development of our software for millions of miles of real-world driving. Responsibilities <ul><li>Develop and scale our data analytics pipelines in Databricks to handle data from our growing vehicle fleet and our vehicle simulation.</li><li>Establish and operationalize performance monitoring systems for our data pipelines. Collaborate with stakeholders to refine SLAs as the monitoring matures.</li><li>Proactively design and deliver impactful architectural improvements to ensure the platform's long-term stability.</li><li>Design and implement data governance mechanisms that enable us to balance secure and wider collaboration with an uncompromised development process.</li><li>Contribute to the continuous development of tooling (e.g., Cursor and MCP servers) to increase developer velocity and integrate with Rivian systems.</li><li>Collaborate closely with colleagues in our offices in California and Serbia, acting as a key technical liaison to gather requirements and drive improvements to the platform.</li><li>Demonstrate strong organizational skills to manage multiple projects, meet deadlines, and deliver high-quality results.</li><li>Support the team’s on-call rotation for any operationally critical systems. </li></ul>Qualifications <ul><li>5+ years of professional software/data engineering experience, with a significant focus on data engineering or analytics.</li><li>Proficiency in building, testing, and optimizing production-grade data pipelines in Databricks, using Spark (PySpark/Scala) and SQL.</li><li>Strong Python and SQL skills.</li><li>Hands-on experience developing dashboards for analysis and reporting, leveraging tools such as Databricks Workspaces, Streamlit or Jupyter notebooks.</li><li>Familiarity with workflow orchestration tools (e.g. Apache Airflow) or data transformation frameworks (e.g. dbt) a plus.</li><li>Familiarity with autonomous systems development (e.g., perception, planning, control) or relevant domains such as robotics, simulation, or verification/validation.</li><li>Proven ability to debug and root-cause issues systematically. </li></ul>Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.

MUST HOLD DV CLEARANCE OUTSIDE IR35 This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. This is a UK based onsite role with the option of compressed hours. The role will include:<ul><li>Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi.</li><li>Implement data ingestion, transformation, and integration processes, ensuring data quality and security.</li><li>Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards.</li><li>Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity.</li><li>Develop robust data models to support analytics and reporting within secure environments.</li><li>Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack.</li><li>Build dashboards and visualizations in Kibana to enable data-driven decision-making.</li><li>Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies.</li><li>Document data architecture, workflows, and security protocols to ensure smooth operational handover and audit readiness.</li></ul> <ul><li>• Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. • Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. • Familiarity with containerization and orchestration tools such as Docker and Kubernetes. • Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. • Understanding of ML algorithms, their development and implementation • Confidence developing end-to-end solutions • Experience with infrastructure as code e.g. Terraform, Ansible</li></ul>

???? Queres juntar-te a uma empresa em forte expansão? ???? E se te disséssemos que, em apenas 18 anos, a PrimeIT cresceu até chegar aos 2360 colaboradores? Imagina fazeres parte desta história. ???????? Descobre os 10 benefícios de seres um Primer (<a>https://www.youtube.com/</a> watch?v=NQ0s0kLzZ0w) e percebe porque é que somos muito mais do que uma empresa tecnológica. ???? Estamos à procura de um(a) Data Engineer com: <ul><li>4 anos de experiência profissional como Data Engineer</li><li>Experiência com banco de dados</li><li>Conhecimentos em Linux</li><li>Experiência com Airflow </li><li>Inglês e Francês B2</li></ul> Localização: Porto Tipo de Projecto: Nacional Nível de Experiência: Mid (3 a 6 anos) Pacote Salarial & Benefícios: 1200€ a 2000€ (base) + SA + Flex Benefits Precisas de mais razões? ???? Envia o teu CV para grua@primeit.pt e descobre até onde a tua carreira pode chegar na PrimeIT! ????

Ben jij een ervaren data engineer die graag de toekomst van data binnen een groeiende organisatie vormgeeft? Jij speelt een sleutelrol bij de overgang van onze on-prem BI-omgevingen naar een moderne Azure Lakehouse-architectuur. Met jouw expertise zorg je voor stabiele dashboards en rapportages, terwijl je samen met collega’s de datastrategie van morgen bouwt. Bij ons draait het niet alleen om wat je kunt, maar ook om wie je bent. Dus: ben jij die proactieve Data Engineer die met ons het verschil maakt? Jouw rol in het team Als data engineer bij Alpina werk je aan de stabiliteit van onze bestaande Microsoft BI-omgeving én draag je bij aan de migratie naar Azure Lakehouse. Jij zorgt ervoor dat data betrouwbaar en beschikbaar is voor strategische inzichten. <ul><li>Jij beheert en optimaliseert onze huidige on-prem Microsoft BI-omgevingen.</li><li>Jij ontwikkelt, onderhoudt en deployt SSIS-pakketten voor ETL-processen.</li><li>Jij werkt met SSRS en SSAS (Tabular en Multidimensional) en voert performance tuning uit.</li><li>Jij onderhoudt dimensionele modellen zoals star schema’s.</li><li>Jij ondersteunt de migratie naar een Azure Lakehouse omgeving en denkt mee over versiebeheer en CI/CD-trajecten. </li></ul>Wat wij jou bieden <ul><li>Een werkweek van 32 tot 40 uur. </li><li>Direct een arbeidsovereenkomst voor onbepaalde tijd. </li><li>Een bruto maandsalaris van €5.021,- tot €6.275,- op basis van 40 uur. </li><li>Mogelijkheid tot hybride werken met als standplaats Leusden.</li><li>Een leasefietsregeling. </li><li>Een reiskostenvergoeding van € 0,21 per km met de auto, € 0,25 per km met de fiets of te voet, en reizen met het OV in de 2e klas wordt volledig vergoed. </li><li>27 vakantiedagen als je 40 uur werkt. </li><li>Persoonlijk Keuzebudget (PKB): Jij bepaalt zelf hoe je een deel van je arbeidsvoorwaarden inzet: meer verlof, extra salaris of een opleiding. </li><li>Alpina Academy: Toegang tot trainingen, cursussen en opleidingen, o.a. op het gebied van vakkennis, AI, persoonlijke groei of leiderschap. </li><li>Korting op financiële producten: Denk aan verzekeringen, hypotheken, taxaties en aan- of verkoop van je woning. </li></ul>Maak kennis met Alpina Group Jij komt te werken binnen Alpina Group, een landelijk werkende organisatie met sterke regionale wortels. Je werkt in een dynamisch team van 16 collega’s verspreid over meerdere kantoren, met één maandelijkse samenkomst in Leusden. Het team is informeel, betrokken en innovatief, met ruimte voor eigen initiatief en verbetervoorstellen. Met 1.500 collega’s op ruim 40 locaties zorgt Alpina group dat klanten volledig worden ontzorgd in financiële dienstverlening. Geen stropdassenmentaliteit, maar een informele sfeer waarin ondernemerschap en proactiviteit belangrijker zijn dan hiërarchie. En met een doel: dat jij hier alles mag worden behalve ongelukkig. Wat jij in huis hebt <ul><li>Minimaal 5 jaar relevante werkervaring in data engineering.</li><li>Aantoonbare ervaring met Microsoft SQL Server en het schrijven van geoptimaliseerde T-SQL queries.</li><li>Ruime ervaring met SSIS, SSRS en SSAS (Tabular/Multidimensional).</li><li>Grondige kennis van datawarehousing en dimensioneel modelleren.</li><li>Proactieve houding en in staat om zelfstandig én in teamverband te werken aan dataoplossingen.</li><li>Goede sociale vaardigheden en een uitstekende beheersing van de Nederlandse taal in woord en geschrift. </li></ul>Wat we als pluspunt zien <ul><li>Ervaring met migratie van SSRS-pakketten richting de cloud.</li><li>Ervaring met Git of andere versiebeheersystemen; kennis van CI/CD-trajecten.</li><li>Ervaring in en kennis van Azure DevOps.</li><li>Kennis van Databricks, DBT of Azure Data Factory. </li></ul>Durf jij het aan? Solliciteer vandaag nog of neem contact op met Demi Kemperman via telefoonnummer 06-51057153 voor meer informatie. Acquisitie naar aanleiding van deze advertentie wordt niet op prijs gesteld.

At ING we are looking for Martech Data Engineer Your role and work environment: We are looking for a talented and enthusiastic Martech Data Engineer to join our Engagement Funnel Team of Customer Interactions Tribe and Brand Experience CoE The responsibility of this team is to implement a next gen Engagement funnel Platform stack, providing scalability and hyper-personalization to our customers, and our way of working is hybrid. We operate according to a Biz-Dev Ops development process and strongly believe in the Agile approach delivering IT solutions. The focus is on high-quality mission-critical target-oriented development with regular milestones. Feature delivery is driven by the priorities determined by the Business and Product Owners, working on a day-to-day basis with the IT organization. Your key responsibilities: As a Martech Data Engineer you will: Positively contribute to the successful migration of our legacy marketing automation platform to Adobe Experience Platform, ensuring minimal disruption and maximum business value. Co-create innovative solutions with cross-functional teams to optimize marketing workflows and enhance customer engagement through advanced automation capabilities. Ensure data integrity, system performance, and compliance throughout the migration process, while implementing best practices for scalability and future growth. Provide technical guidance, maintenance and support during implementation, testing, and post-migration phases. What are we looking for? Want to know if this job is made for you? These are some of the qualities that we value the most for this role. And if the shoe fits… don’t hesitate to apply! The main challenges always addressed by our Martech Data engineer are: To succed in the role, you should have… • Consider the outcome of prioritization processes and related dependencies• Coordination with other squads within ING, cross-domain• Coordination with external data vendors• Perform meaningful testing for several relevant goals• Aim at improving time-to-market and added business value• Implement new changes & deliver smart• Be IT risk compliant• Ability to express complex ideas about previous projects • Commitment, ability, and aptitude for teamwork • Agile mindset and experience working in cross-functional teams• Engineering degree with a minimum of 5 years of experience• Strong analytical, people management and communication skills• Able to work in an autonomous way and to take initiative• Loving to collaborate with different people• Making things happen and ‘can do’ attitude• DevOps and Agile culture• Passionate Proven track record and technical skills Essential: • Hands-on experience with Adobe Experience Platform knowledge, focused on Adobe RT-CDP• Adobe XDM Data Modelling and E/R modelling knowledge • Experience with relational databases (Oracle) and SQL / PLSQL knowledge• Data Engineering & Data mesh background• Unix scripting & Python experience• ETL & Functional Knowledge • CI/CD: Azure DevOps experience• Azure and/or other cloud environments • Strong vendor experience with Testing (Unit, Integration, end-to-end, smoke) • Best practices in testing Nice to have:• Tag manager knowledge (Tealium, Adobe)• Knowledge of analytics and reporting tools to measure marketing campaign performance. (e.g.Customer Journey Analytics or Adobe Analytics)• Basics on: Java, Spring, Microservices patterns and practices, Docker, Openshift/Kubernets.• Event Driven architectural patterns• Spark & PySpark knowledge What do we offer? The time you spend at work, the challenges you face or the lessons you get are very important, but… What about your personal life? At ING we want your work to fulfill you in every way, and that is why we take care of even the smallest details. Check out what is waiting for you! Be flexible my friend.Our model is all about flexibility and accountability. Keeping both our customers and our colleagues’ needs in mind, you determine together which days you work at home and which you come to ING MAD to offer your best self. Do your thing. Restaurant card.So that thinking about what to have for lunch doesn’t take up your time or your cravings. Our house will be your home.In our offices you can find electric mobility solutions, doctor, hairdresser, gym, The Good Service (to help you with your errands) and much more! Health insurance.For you and all your family (spouse/partner and children). Life insurance.We help you protect what matters most to you. Flexible remuneration.In addition, you will enjoy our flexible remuneration model, through a more tax-advantaged way, you will be able to access other services such as nursery, transport card, training aids… Free company shuttle.It doesn't matter where you live. We have 6 routes (North, Central, South, A5, A42 and A6) to get you to our ING office in Madrid comfortably. Banking benefits.Special loans with more beneficial conditions.Special mortgage conditions after 6 months working at the bank.And you can benefit from our pension plan after 1 month with us! More vitality and more belonging360º care of the employee (physical, mental, social connection & purpose). Physiotherapy service on site.Clinics with professional, world-class athletes.Gympass service.Employee Networks: Rainbow Lions (LGBTQI+), Leonas & RIÑG.International Remote work program. Get to know Us We are a team of more than 1700 people sharing one idea: doing our bit in helping our clients create a better future for themselves, by providing them with the tools they need to get where they want to go. A fully online bank where technology, innovation, simplicity and transparency are the main ingredients, and the first one to work with agile methodologies. And although we are based in Spain, we are lucky to work in an international bank with presence in more than 40 countries. We are proud to have a diverse team, and we are committed to continue developing a culture of Diversity, Inclusion and Belonging to foster a culture of collaboration and innovation that represents all collectives in the society. And even though we look orange on the outside, we are green on the inside. Our ambition in Sustainability is Empowering (y)our Sustainability journey. We are embarking on our path, for us, but we are also there for when our clients decide to embark on this journey. Making things happen, helping others be successful, always being one step ahead—that’s our DNA. If you look at yourself in the mirror and your reflection matches our way of being and working…we are looking forward to meeting you!

Question	Topic	Difficulty	Ask Chance
Address Schema	Data Modeling	Medium	Very High
Bicycle Rental Data Pipeline	Batch & Stream Processing	Medium	Very High
Pipeline Transformation Failures	Batch & Stream Processing	Medium	High