Senior Data Engineer – Data Platform Team – In-house Munich & Remote Why consider?<ul><li>In-house role at the HQ in Munich with a global company. </li><li>Remote options, you only need to come to office a few days per month. </li><li>Award winning team of data scientists, data platform, analytics engineers, and architects.</li><li>Highly international team with colleagues from various countries, English business language. </li><li>Super modern data tech stack. (Everything is run on Azure, they also work with Snowflake, dbt, Airflow).</li><li>Chance to build new guidelines and frameworks from scratch, significant impact potential. </li><li>2 stage interview process. </li></ul> Position Overview: The selected individual will take charge of designing technical data pipelines and their implementation on the data analytics platform. This role requires a passion for project development and participation in challenging digitization projects. If you possess strategic thinking, proactive and results-oriented mindset, along with excellent communication and collaboration skills, and a clear vision for data practices and engineering, this role might be a perfect fit for you. Responsibilities:<ul><li>Design, implement, and enhance data pipelines (both batch and real-time) for our data analytics platform.</li><li>Transition or refactor existing analytical solutions to the modern data stack (utilizing tools like dbt, airflow, snowflake).</li><li>Develop, implement, and enhance libraries, software components, and ETL/ELT frameworks necessary for integrating our data analytics platform with internal and external services.</li><li>Seamlessly integrate our tools into efficient processes, focusing on customizing and enhancing ci/cd pipelines, IaC scripts, and other platform process automation tools.</li><li>Execute complex analytical projects across various departments and corporate systems, emphasizing data collection, transformation, and delivery.</li><li>Establish standards, guidelines, and documentation required for the data analytics platform.</li><li>Maintain open communication with team members and other relevant stakeholders, conveying results effectively and clearly.</li></ul> Professional Qualifications and Background:<ul><li>5+ years data engineering experience </li><li>Be willing to be on-site in Munich office for a few days per month.</li><li>Practical experience with Azure Data Factory, Azure DevOps & Terraform.</li><li>Experience implementing engineering practices such as CI/CD, IaC, and automated testing.</li><li>Proficient in docker and linux terminal usage.</li><li>Skilled in designing, coding, and optimizing batch and stream data pipelines.</li><li>Familiarity with git for version control. </li><li>Ideally experience with snowflake, Apache Airflow and dbt.</li><li>Thorough understanding of data warehouse methods, procedures, and data architectures, along with familiarity with various data technologies.</li><li>Python scripting for data engineering automation.</li></ul>

I’m delighted to be partnered with who my client who are the global leader with a worldwide reputation of providing quality hardware products and market leading software. They are changing the future of the industry as we know it with their leading IoT software solutions… My client is going through the process of growing their team and are looking for a Data Engineer to join their team based near Munich (a 30 minute direct train from Munich Central Station) in Germany. They are looking for a Data Engineer with strong experience working with…<ul><li>6 years of experience in Data Engineering</li><li>Strong experience in Python and SQL</li><li>Any prior experience in dealing with large volume data or complex data is an added plus</li></ul> This is an English speaking position and you’d be working across global teams, so strong communication is essential to be able to communicate with a varied level of stakeholder. They’re able to offer a strong bonus structure and you’ll be working on market leading IoT software, would you like to hear more about this opportunity? Apply or reach out to me directly to utkarsh.verma@gcstechtalent.com

Exciting Opportunity: Data Engineer Position in the Technology sector???? Location: Munich, Germany ???????? ???? Are you a skilled Data Engineer seeking a challenging role in the Technology industry? We have a fantastic opportunity waiting for you at our reputable financial institution in the heart of Munich. Join our dynamic team and contribute to shaping the future of banking with your exceptional data engineering expertise. ???? ???? About Us:We are a leading banking organization committed to innovation and leveraging data-driven insights to deliver exceptional services to our clients. With a strong focus on technology and analytics, we strive to create a transformative banking experience. Our diverse and talented team fosters an environment of collaboration, growth, and continuous learning. ???? Role and Responsibilities:As a Data Engineer, you will play a crucial role in our data-driven initiatives, working closely with cross-functional teams to design, build, and optimize our data infrastructure. Your responsibilities will include: ✅ Developing and maintaining robust data pipelines and ETL processes.✅ Implementing data models and schemas to ensure data accuracy and consistency.✅ Collaborating with data scientists and analysts to enable efficient data processing and analysis.✅ Identifying opportunities for automation and optimization to improve data quality and reliability.✅ Monitoring and troubleshooting data issues to ensure smooth operations.✅ Keeping up-to-date with industry best practices and emerging technologies. ???? Required Skills and Qualifications:To excel in this role, you should possess the following qualifications: ???? Bachelor's or Master's degree in Computer Science, Engineering, or a related field.???? Strong experience in data engineering, with expertise in building scalable data pipelines and ETL processes.???? Proficiency in programming languages such as Python, Java, or Scala.???? Solid understanding of SQL and database technologies (e.g., SQL Server, PostgreSQL, Oracle).???? Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is highly desirable.???? Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift) is a plus.???? Excellent problem-solving skills and ability to work independently as well as collaboratively in a team environment.???? Strong communication and interpersonal skills to effectively interact with stakeholders. ???? What We Offer:✨ A dynamic and inclusive work environment that encourages innovation and growth.✨ Competitive compensation package with additional benefits.✨ Opportunity to work with cutting-edge technologies and shape the future of banking.✨ Professional development and training programs to enhance your skills.✨ Flexible working hours and a healthy work-life balance.✨ Up to 110k salary ???? Join us on this exciting journey and make a meaningful impact in the banking sector! Apply now by sending your updated CV to Kyle@sr2rec.com Please mention "Data Engineer - Berlin" in the subject line. We look forward to hearing from you! ???????????? #DataEngineer #Banking #Berlin #Fintech #DataDriven #JobOpportunity

We are a young FinTech-Company with offices in Munich and Paris. We combine professional excellence and professionalism with Start-Up spirit. We offer our international customers in the financial industry customized IT-solutions for the management of their loans, real estate and investments. Our applications and services facilitate all decisions taken on large portfolio investments across different regions and asset classes. We are looking for our international team in Munich for a Senior Data Engineer (m/f/x) As a member of our European team you will contribute to implement and enhance the data warehouse of our customers. At the same time you will be involved in the development of our own products, which have the potential to revolutionize the real estate and loan management. The special attraction of the job is that you already join our small and dynamic team at the beginning of our success story. This gives you the opportunity to become a key-player in the further growth of our company and to get involved in all important decision-making processes. Grow with us!  YOUR TASKS AND RESPONSIBILITIES: <ul><li>Development of Business Intelligence Solutions</li><li>Maintenance and development of complex data warehouses</li><li>Cleanse, manipulate/transform and format large data-sets to enable data quality improvements</li><li>Manage full development lifecycle, from requirement gathering to implementation of data-driven solutions</li><li>Design and develop data flows that will help monitoring large portfolio transactions</li><li>Participate in the development of our own SAAS product for the management of large real estate and loan portfolios.</li></ul> YOUR SKILLS AND EXPERIENCES: <ul><li>Degree in Computer Science, Information Systems or equivalent</li><li>Minimum 2 years experience designing and developing ETL processes.</li><li>Minimum 2 years experience working with simple to complex SQL queries.</li><li>Knowledge and good understanding of DWH and Relational Database concepts.</li><li>Experience with reporting tools such as Tableau or Microsoft Power BI.</li><li>Experience with MS Azure ( Azure Data Factory and Logic Apps) is a plus</li><li>Experience with MS Stack (SSIS, SQL Server, Visual Studio).</li><li>Our working language is English, we expect English knowledge at work level</li><li>Another European language is a plus</li><li>Creativity and entrepreneurial spirit</li><li>Experience with working in agile mode</li><li>Analytical and Problem-solving Skills – Capable of assessing customer requirements and transforming them into software solutions.</li><li>Structured and conscientious working style, good project and time management</li><li>Strong social skills and excellent communication skills, especially experience in working with customers at senior level</li><li>Enjoying occasional business trips</li><li>Interest in the real estate and financial industry</li></ul> OUR PROPOSAL: <ul><li>Great personal responsibility and individual possibilities to contribute to the development of our company</li><li>Short decision-making, flat hierarchies and daily, direct contact with our international customers</li><li>Wide range of tasks with a high level of professionalism</li><li>Inspiring work environment in our own rooms in co-working offices</li><li>Flexible working hours and attractive working conditions</li><li>And last but not least: our great team spirit in our family international team</li></ul> INTERESTED? Please send us your application via email at recruiting@imogate.eu.Please indicate the earliest date you could start. If you have any questions about this job, please feel free to contact Mrs. Christine Reik hr@imogate.eu. Find more information about us: www.imogate.com We would be pleased to get to know you and are looking forward to your application!

Holidu is a fast growing travel-tech company with travel enthusiasts from 60+ nations. Together, we are striving to revolutionize the vacation rental industry by helping hosts to manage their vacation rental with ease and guests to find the perfect holiday home they truly enjoy. In October 2022, we secured €100 million Series E funding, allowing us to constantly improve our services and achieve the next milestone on our journey. Our team is united by a passion for modern technologies, an ambition for constant improvement and the drive to bring the best experience to more than 100 million users each year. Want to achieve amazing milestones with us? Then pack your bag, hop on board and get ready for take off! Your future team<ul><li>You will be part of the Data Engineering team in the Business Intelligence department. The team is responsible for creating, maintaining and refining the core data pipeline tools, including the Data Warehouse and Data Lake, and to support some core pipelines on top of that. Your team will support the organization to answer all its data need. </li><li>Your team will consist of 4 data engineers.</li><li>You will take on the responsibility to create of enabling a DataMesh based approach to support different teams in leveraging the data to create data driven applications.</li><li>You will be working in close collaboration with the data analytics and data science teams to further enable them leveraging the tools you have built.</li></ul> Your role in this journey<ul><li>Play a key role in a high-performing cross-functional team with a strong focus on data products, velocity, quality and engineering culture.</li><li>Engage comprehensively in software development - from ideation to release and monitoring.</li><li>Architect, design, and optimize robust data pipelines to extract, transform, and load diverse datasets efficiently and reliably.</li><li>Devote efforts to crafting practical development toolchains to empower other teams in the organization to build high quality datasets.</li><li>Shape engineering objectives in tandem with engineering managers.</li><li>Excited about state of the art data technologies? Deep deep dive into a variety of solutions, optimize them or completely bring new innovations to the table.</li><li>Seek cost-efficient solutions while maintaining high standards of quality (SLA). </li><li>Proactively identify opportunities and drive initiatives to enhance data engineering processes, monitor pipeline performance, and identify opportunities for optimization and efficiency gains.</li><li>Focus on the growth of your team by offering consistent and valuable feedback and recruiting new engineers.</li><li>Apply best practices and continuously learn and share your thoughts with your peers.</li></ul> Your backpack is filled with<ul><li>A bachelor's degree in Computer Science, a related technical field or equivalent practical experience.</li><li>Experience building and implementing Lakehouse architectures in AWS or other similar setups.</li><li>Effectively build batch and streaming data pipelines using technologies such as Airflow, DBT, Redshift, Athena/Presto, Firehose, Spark, SQL databases and similar technologies</li><li>Strong programming skills in Python, SQL, Java, Kotlin, or similar languages.</li><li>Previous experience in Data Governance is highly desirable.</li><li>Excellent communication skills with the ability to influence stakeholders and align technical solutions with business objectives.</li></ul>

Data Engineer Jobs in Munich, Bavaria

Data Engineer Software Engineer Für Product Management Mwd
April 30, 2024

Senior Data Engineer Data Platform Team
April 28, 2024

Data Engineer
April 28, 2024

Data Engineer
April 26, 2024

Senior Data Engineer
April 17, 2024

Data Engineer
April 14, 2024

Data Engineer
April 8, 2024

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Data Engineer Jobs in Munich, Bavaria

Data Engineer Software Engineer Für Product Management MwdApril 30, 2024

Senior Data Engineer Data Platform TeamApril 28, 2024

Data EngineerApril 28, 2024

Data EngineerApril 26, 2024

Senior Data EngineerApril 17, 2024

Data EngineerApril 14, 2024

Data EngineerApril 8, 2024