Data Engineer (m/f/d)
München, Berlin, London, Amsterdam, Mailand, Paris
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Docker
- Kafka
- Snowflake
- Terraform
- Google Cloud (GCP)
- Databricks
- Airflow
Source — Tool mentions in context
- You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field. - You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation. - You have hands-on experience in building and managing ETL/ELT pipelines and data workflows.
- You have hands-on experience in building and managing ETL/ELT pipelines and data workflows. - You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). - You are familiar with containerization and workflow orchestration tools such as Docker and Airflow.
- You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). - You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. - You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.
- You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. - You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). - You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks.
- You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). - You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks. - You ensure data quality, observability, and monitoring as integral parts of your solutions.
- You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. - You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. - You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).
Job description
What we look for:
What we require:
What you can expect:
- You own the design, build, deployment, and continuous improvement of data products and pipelines that power production AI, analytics, and operational workflows.
- You 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.
- You build scalable ingestion, transformation, quality, and serving pipelines across batch, streaming, and API-based data sources.
- You take responsibility from raw-data access through production deployment, observability, performance, security, and cost efficiency in cloud environments.
- You partner closely with AI engineers, data scientists, analysts, architects, and product owners to deliver integrated solutions rather than isolated pipelines.
- You iterate based on data-quality signals, system performance, and user feedback, resolving production issues and improving operational resilience.
- You contribute reusable platform components, standards, and field learnings that accelerate Data & AI delivery across OMMAX.
What we require:
- You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field.
- You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation.
- You have hands-on experience in building and managing ETL/ELT pipelines and data workflows.
- You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP).
- You are familiar with containerization and workflow orchestration tools such as Docker and Airflow.
- You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.
- You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).
- You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks.
- You ensure data quality, observability, and monitoring as integral parts of your solutions.
- You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients.
- You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work.
- You have strong communication and presentation skills, and can explain complex topics clearly.
- You speak English fluently; regional languages are an advantage.
What you can expect:
- 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on ommax.jobs.personio.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
München, Berlin, London, Amsterdam, Mailand, Paris
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 122
- Last seen by us
- Oct 2, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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