Data Engineer

About the Position

Join OMMAX as a Data Engineer to build scalable data pipelines and power production AI, analytics, and operational workflows.

Responsibilities

• Own the design, build, deployment, and continuous improvement of data products and pipelines that power production AI, analytics, and operational workflows.
• Work directly with client teams and downstream users to understand how data is created, consumed, and acted upon, translating real needs into reliable data solutions.
• Build scalable ingestion, transformation, quality, and serving pipelines across batch, streaming, and API-based data sources.
• Take responsibility from raw-data access through production deployment, observability, performance, security, and cost efficiency in cloud environments.
• Partner closely with AI engineers, data scientists, analysts, architects, and product owners to deliver integrated solutions rather than isolated pipelines.
• Iterate based on data-quality signals, system performance, and user feedback, resolving production issues and improving operational resilience.
• Contribute reusable platform components, standards, and field learnings that accelerate Data & AI delivery across OMMAX.

Requirements

• Degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field.
• Strong experience in Python and SQL as foundational tools for data integration, transformation, and automation.
• Hands-on experience in building and managing ETL/ELT pipelines and data workflows.
• Experienced with cloud environments (preferably Azure, alternatively AWS or GCP).
• Familiar with containerization and workflow orchestration tools such as Docker and Airflow.
• Experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.
• Understanding of data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).
• Ideally, experience with distributed processing systems like Spark, Snowflake, or Databricks.
• Ensure data quality, observability, and monitoring as integral parts of your solutions.
• Enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients.
• Service-oriented and communicative team player with a high degree of self-responsibility and passion for your work.
• Strong communication and presentation skills, and can explain complex topics clearly.
• Fluent in English; regional languages are an advantage.

We Offer

• Your impact is crucial: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
• Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
• Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at OMMAX - with us you will become a digital leader!
• Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, Paris and Berlin.
• Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
• Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.

About the Company

Join OMMAX, the leading AI-first consultancy and AI-engineering platform.

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