Senior Data Analytics Engineer (m/f/d)

We are looking for a Senior Data Analytics Engineer who approaches data with a software engineering mindset. You will join our Data Solutions squad to architect, build, and maintain production-grade data platforms.

This is not a Data Analyst role. While you will understand the business context, your primary focus is technical: designing scalable architectures, writing clean and testable Python/SQL code, automating deployments, and optimizing cloud infrastructure. You will act as a technical standard-bearer, ensuring our pipelines are reliable, cost-effective, and maintainable.

Your profile

Your Profile

We are looking for a candidate who has strong analytics engineering experience or has a strong background in backend development focused on data.

Must-Have Skills

• 4+ years of experience specifically in Analytics Engineering or Data Engineering.
• Advanced Python proficiency beyond scripting: You write modular, object-oriented, and production-ready code. You use relevant libraries and framework for testing, and understand exception handling and logging.
• Deep expertise in SQL & dbt: You don't just write queries; you build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans to optimize performance.
• Software Engineering Fundamentals: Proven experience with Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI) , and Containerization (Docker) . You understand how to deploy code reliably.
• AWS Cloud Native Experience: Hands-on experience building serverless architectures using AWS Lambda, StepFunctions, Glue, and Athena .
• Testing Mindset: You can demonstrate experience implementing Unit Tests and Integration Tests for data pipelines. You do not rely on manual checks or stakeholder validation for quality assurance.
• Data Warehouse Ops: Deep understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning, clustering, and cost governance.

Nice-to-Have Skills

• Experience with Infrastructure as Code (Terraform) to manage cloud resources.
• Experience with orchestration tools like Airflow, Dagster, or Prefect .
• Knowledge of big data processing frameworks (Spark/PySpark).
• Familiarity with dashboarding tools (Streamlit, Preset, Tableau e.t.c) – Note: This is helpful for debugging and monitoring, but not the core function of the role.
• B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields.

Why us?

On top of a competitive package…

• We are open toflexible work models : we work on a hybrid mode and remotely from anywhere in the world up to 3 months per year
• To encourage education and professional growth, we offer an individual yearly budget of 1.200€
• You are entitled to 30 vacation days per year
• We offer Urban Sports Club membership, company pension scheme
• Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)
• We equip you with the latest hardware and provide you with all the tools you need to thrive

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung