Data Engineering Lead (ML)

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6 hr. ago 5 hr. ago

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Barrington James Data Engineering Lead (ML)

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Summary

Lead and scale data engineering at a well-backed biotech startup (offices in Amsterdam and Zurich), building large-scale pipelines — ingestion, synthetic data generation, filtering — that power multimodal LLMs for cancer diagnosis. Hands-on with Python and distributed frameworks like Ray and Spark while managing and mentoring engineers.

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Recruitment Manager - Artificial Intelligence at Barrington James

I am collaborating with a very exciting, incredibly well backed, start up, Biotech company with offices in Amsterdam and Zurich

They are building a cutting-edge data platform and developing a multimodal foundation model that leverages complex datasets to improve cancer diagnosis, treatment, and patient outcomes.

My client are looking for a Data Engineering Lead (ML). They are looking for a senior technical leader to own and scale our large-scale data pipelines powering cutting-edge multimodal LLMs for the medical domain. This role is primarily focused on data engineering and infrastructure, with close collaboration with ML researchers.

You’ll lead the design and operation of ingestion, synthetic data generation, and filtering systems; ensure data quality and integrity at scale; and guide long-term architectural decisions. You will manage and mentor engineers while remaining hands-on in building and optimizing distributed data systems.

Key Requirements

Proven leadership of data engineering teams, including hiring, coaching, and developing talent.
Experience owning large-scale data pipeline architecture, including ingestion, synthetic data generation for LLMs, and data-quality experimentation.
Strong programming skills in Python; deep expertise with distributed frameworks (Ray, Spark).
Experience with hashing, deduplication, chunking, and other data primitives.

Nice to Have

DAG orchestration in Dagster (preferred), Airflow, or Prefect.
Knowledge of data-quality/validation frameworks and monitoring tools.
Understanding of ML fundamentals to collaborate effectively with research teams.
Long term incentives
25+ days holiday

Following your application Joe Templeman, a specialist AI Recruiter will discuss the opportunity with you in detail.

He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.

This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Joe Templeman for any further information

Joe Templeman

Recruitment Manager – Barrington James

Seniority level

Seniority level
Director

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Biotechnology Research and Hospitals and Health Care

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