Senior Data Pipeline Engineer – Freelance
Job in
Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listed on 2026-07-19
Listing for:
Jobtailor
Contract
position Listed on 2026-07-19
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below
Location: Zürich
- 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 product ionise 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.
- 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).
- Working knowledge of ML lifecycle and model serving; familiarity with techniques for audience segmentation or look‑a‑like modelling is a big plus.
- Rust proficiency (we use it for backend services and compute‑heavy client‑side modules).
Position Requirements
10+ Years
work experience
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