Data Engineer - Onsite - Frankfurt Join our esteemed Fin-Tech/Trading Platform, headquartered in the bustling financial hub of Frankfurt You'll play a key role in one of Europe's Top 3 Trading companies, gaining invaluable insights into the daily operations and inner workings of this financial platform. Ensuring the precision and reliability of the trading systems, shaping the future of financial markets. It's not just a job opportunity – it's your ticket to a thrilling journey into the heart of high-level trading. We are on the hunt for talented Data Engineers to become an integral part of our dynamic workforce. It's a chance to grow, to challenge yourself, and to be part of something special. So, if you're passionate about finance, technology, and want to be at the forefront of the trading industry apply now and speak to the team! THE ROLE: <ul><li>Engage in the creation and upkeep of data pipelines.</li><li>Focus on tasks such as data modelling, ETL processes, and data transformation to bolster the data warehousing infrastructure.</li><li>Actively contribute to ensuring data quality by finding and correcting anomalies and inaccuracies.</li><li>Keep clear and accurate documentation - data pipelines, processes, and best practices.</li><li>Collaborate with cross-functional teams to fulfil data requirements for internal partners, stakeholders, clients, and regulatory bodies.</li><li>Stay informed about the latest trends and technologies in Business Intelligence, Data Warehousing, Data Lakes, and related domains.</li><li>Generate on-the-fly reports from our data warehouse using SQL/notebooks.</li></ul> THE CANDIDATE: <ul><li>Hands-on experience with Data Warehouses and Data Lakes.</li><li>Knowledge of Kafka, Flink, Spark or other Big Data technologies</li><li>Strong experience with SQL</li><li>Knowledge of database systems and data modelling.</li><li>Proficiency in at least one programming language (Python, Java, Scala, Spark)</li><li>Bonus points for experience with Cloudera solutions, both operational and application development.</li><li>Additional advantage for familiarity with Artificial Intelligence/Machine Learning.</li><li>Possession of relevant degrees in a technical field of study (e.g., data or computer science).</li><li>Inquisitive mindset towards the field of data engineering</li></ul> THE OFFER: <ul><li>Enrolment in their award-winning Academy - pick the direction you want to grow!</li><li>Relocation and Visa support throughout the entire process - from the client and MODE</li><li>Amazing office space in the heart of Frankfurt</li><li>Competitive salaries</li><li>Regular Performance Reviews</li><li>Awesome employee centric events and company days</li></ul>

Senior Data Engineer - Frankfurt - up to €90k Join our dynamic team where innovation meets data mastery! We're seeking an experienced individual to lead our cutting-edge data initiatives. Here's your chance to shape the future of data architecture and engineering without limits. Your Role:<ol><li>Architectural Wizardry: Craft and deploy robust data pipelines and infrastructure that can handle immense volumes of data with ease.</li><li>Model Maven: Develop and nurture data models for seamless analytics and reporting, while ensuring top-notch integrity and optimization.</li><li>Integration Extraordinaire: Bring together data from diverse sources seamlessly, ensuring uniformity and reliability.</li><li>Governance Guru: Uphold data quality and compliance standards through meticulous governance practices.</li><li>Performance Prodigy: Fine-tune pipelines and systems for peak performance and efficiency, tackling any challenges head-on.</li><li>Collaborative Champion: Work hand-in-hand with diverse teams to understand data needs and deliver impactful solutions.</li><li>Documentation Dynamo: Keep our data ecosystem well-documented and easily navigable for all.</li></ol> What You Bring:• Proven prowess in data engineering or allied fields, with a strong grasp of data fundamentals. • Experience with real-time data ingestion? Check! • Proficiency in Python, Java, or Scala? Absolutely essential. • Unix aficionado with Shell scripting skills? We'd love to hear from you. • ETL/ELT pipeline expertise (Airflow, Luigi)? You're our kind of wizard. • SQL and database wizardry? We'll be speaking your language. • Big data tech know-how (Hadoop, Spark, Kafka)? Welcome aboard. • Familiarity with cloud platforms? AWS, Azure, GCP – you name it, you've got it. Preferred Skills:• Docker and Kubernetes aficionado? Fantastic! • Visualization virtuoso? We're talking Tableau, Power BI, Superset. • Finance data familiarity? You're speaking our language. Join us and unlock your full potential in a vibrant, forward-thinking environment where your ideas are valued and your skills sharpened daily. Apply now and embark on an exhilarating journey with us!

payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to business and make them all available in one place on our platform we call payabl.one. As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts. You’re part of:Data Team, where you play a vital role in collecting, analyzing, and interpreting data to support decision-making across the organization. Your tasks include data collection, ensuring quality, and developing databases. You're skilled in SQL, Python for data manipulation and visualization tools. Collaborative and communicative, you work with various teams to understand their needs and provide actionable insights. Passionate about staying updated with new technologies, you drive innovation and contribute to a culture of continuous improvement. Your Key Responsibilities:<ul><li>Data Architecture Design: Design and implement scalable, reliable, and efficient data pipelines and infrastructure to ingest, process, and store large volumes of structured and unstructured data.</li><li>Data Modeling: Develop and maintain data models to support analytics and reporting needs, ensuring data integrity, consistency, and optimization for performance. Design and implement OLAP (Online Analytical Processing) cubes and structures for multidimensional analysis.</li><li>Data Integration: Integrate data from various sources, both internal and external, ensuring compatibility, consistency, and reliability across datasets.</li><li>Data Quality and Governance: Implement processes and tools to ensure data quality, consistency, and compliance with regulatory requirements. Establish data governance policies and procedures.</li><li>Performance Optimization: Monitor and optimize data pipelines and systems for performance, scalability, and cost-effectiveness. Troubleshoot and resolve issues as they arise.</li><li>Collaboration: Collaborate with cross-functional teams, including analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business objectives.</li><li>Documentation: Document data infrastructure, processes, and workflows to ensure knowledge sharing and maintainability.</li></ul> Our Requirements:<ul><li>Proven experience in data engineering or related roles, with a strong understanding of data structures, algorithms, data management principles, and best practices</li><li>Have experience working with real-time or near-real-time ingestion</li><li>Proficiency in programming languages such as Python, Java, or Scala</li><li>Working knowledge of Unix OS / Shell scripting</li><li>Experience with ETL / ELT pipeline design, implementation, and maintenance (Airflow, Luigi)</li><li>Experience with SQL, relational, non-relational, and column-oriented databases (e.g., PostgreSQL, MySQL, MongoDB, Apache Druid, ClickHouse)</li><li>Experience with big data technologies and frameworks such as Hadoop, Spark, Kafka</li><li>Experience with data warehouse platforms such as Snowflake and Databricks, including data modeling, performance optimization, and administration.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP)</li><li>Experience with containerization and orchestration technologies such as Docker and Kubernetes</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, Superset)</li><li>Experience with finance data (transactions, clearing reports).</li></ul> We offer you:<ul><li>Competitive Compensation: Receive a market-aligned salary with potential bonus payments reflecting the company's annual performance.</li><li>Vacation Policy: Enjoy 28 vacation days, plus extra holidays on December 24th and 31st, providing ample time for personal activities and relaxation.</li><li>Career Growth in a Flat Hierarchy: Experience significant career opportunities in an environment that encourages swift professional development and open communication.</li><li>International Working Environment: Work in a diverse, multicultural setting that broadens your professional experience and perspectives.</li><li>Personalized Technology Choice: Select the technology that suits you best, with options including Mac or Windows laptops, to enhance your work efficiency and comfort.</li><li>Team Events and Collaborative Culture: Participate in regular team events that strengthen community bonds and promote a collaborative workplace.</li><li>Hybrid Working and Relaxation Amenities: Benefit from the flexibility of hybrid working and unwinding in our relaxation room featuring a massage chair.</li><li>Daily Lunch Benefit with Sodexo Checks: Enhance your workday with the convenience of daily lunches, catered to by Sodexo checks.</li></ul> Location:<ul><li>Our office is based in Frankfurt, and hybrid working is available.</li></ul> Join the payabl. team now! If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our <a>privacy policy</a>.

Data Engineer Jobs in Frankfurt am Main, Hesse

Senior Data Engineer
April 29, 2024

Senior Data Engineer Frankfurt Up To 90K
April 28, 2024

Senior Data Engineer
April 14, 2024

Data Engineer
April 12, 2024

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Data Engineer Jobs in Frankfurt am Main, Hesse

Senior Data EngineerApril 29, 2024

Senior Data Engineer Frankfurt Up To 90KApril 28, 2024

Senior Data EngineerApril 14, 2024