vom 07.01.2026
We are looking for a Senior Data Pipeline Engineer (≥ 80 %, start as soon as possible) for 6 months (possible conversion into FTE) to support our team during a crunch time driven by customer demand. The role can be fully remote (± 4 h CET) or based in our Zürich/Berlin office.
Tasks: Own, Design, Build & Operate Data Pipelines – Take responsibility for our Spark-based pipeline, from development through production and monitoring. Advance our ML Models – Improve and productionise models for AdTech use-cases such as lookalike modelling and demographics modeling. AI-Powered Productivity – Leverage LLM-based code assistants, design generators, and test-automation tools to move faster and raise the quality bar. Share your workflows with the team. Drive Continuous Improvement – Profile, benchmark, and tune Spark workloads, introduce best practices in orchestration & observability, and keep our tech stack future-proof.
Requirements: Bachelor/Master/PhD in Computer Science, Data Engineering, or a related field and 5+ years of professional experience. Expert-level Python and PySpark/Scala Spark experience. Proven track record building resilient, production-grade data pipelines with rigorous data-quality and validation checks. Data-platform skills: operating Spark clusters, job schedulers, or orchestration frameworks (Airflow, Dagster, custom schedulers)
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