Data Engineer (m/f/d)

OMMAX GmbH; München; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Digital Leaders of Tomorrow program

Hybrid working model

Pension scheme

Fitness and wellness partnerships

Mobility and meal allowances

Job summary

OMMAX GmbH seeks a data engineer to own end-to-end data products, pipelines, and deployments powering production AI and analytics. You will work with client teams to understand data needs and translate them into scalable, observable solutions.

You will design ingestions and transformations across batch and streaming sources, while ensuring quality, security, and cost efficiency in cloud environments. Fluency in English is required.

Qualifications

• Degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or related field.
• Strong Python and SQL experience for data integration, transformation, and automation.
• Hands-on experience building and managing ETL/ELT pipelines and data workflows.
• Cloud environments experience (Azure preferred; AWS/GCP also acceptable).
• Familiar with Docker and Airflow for workflow orchestration.
• Experience with Infrastructure as Code (Terraform).
• Understanding of data lakes, data warehouses, and streaming tech (Kafka, Kinesis).
• Experience with distributed processing (Spark, Snowflake, Databricks).
• Ensure data quality, observability, and monitoring as part of solutions.
• Cross-functional collaboration with Data Scientists, Product Owners, and clients.
• Strong communication and presentation skills; English fluency; regional languages a bonus.

Responsibilities

• Own the design, build, deployment, and continuous improvement of data products and pipelines powering AI, analytics, and operations.
• Collaborate with client teams and downstream users to translate needs into reliable data solutions.
• Build scalable ingestion, transformation, quality, and serving pipelines across batch, streaming, and API sources.
• Ensure production deployment with observability, performance, security, and cost efficiency in cloud environments.
• Partner with AI engineers, data scientists, analysts, and product owners to deliver integrated solutions.
• Iterate based on data-quality signals and user feedback to enhance resilience.
• Contribute reusable platform components and standards to accelerate Data & AI delivery.

Skills

Python

SQL

Data integration

Data transformation

Observability

Education

Degree in Computer Science / Data Engineering / IS / Math / Physics

Tools

Docker

Airflow

Terraform

Kafka

Kinesis

Spark

Snowflake

Databricks

Job description

What we look for:

• 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 managingETL/ELT pipelines and data workflows.
• You are experienced withcloud environments (preferably Azure, alternatively AWS or GCP).
• You are familiar withcontainerization and workflow orchestration tools such as Docker and Airflow.
• You have experience withInfrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.
• You understanddata lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).
• You ideally have experience withdistributed processing systems like Spark, Snowflake, or Databricks.
• You ensuredata quality, observability, and monitoring as integral parts of your solutions.
• You enjoycross-functional collaboration with Data Scientists, Product Owners, and clients.
• You are aservice-oriented and communicative team player with a high degree of self-responsibility and passion for your work.
• You havestrong 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 inMunich, 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.