Director, ML Data Engineering & Pipelines

kaiko.ai; Amsterdam; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Good pension plan

25 vacation days per year

EUR 1000 learning and development budget

Annual commuting subsidy

Job summary

A technology company specializing in medical data is looking for an ML Data Engineering Lead in Amsterdam. This hybrid role involves leading technical teams, owning data architectures, and collaborating with ML researchers to enhance data systems. Candidates should have strong leadership skills and expertise in Python and large-scale data pipelines. The position offers competitive salary and benefits, including vacation days and a learning budget.

Qualifications

• Experience leading technical teams and managing engineers.
• Proven ownership of long-term architectural decisions in data pipelines.
• Deep experience with data quality experimentation and synthetic data generation.

Responsibilities

• Drive technical execution on core data systems while coaching your team.
• Collaborate with ML research lead to align infrastructure with research priorities.
• Design scalable architectures and prioritize experiments for data leverage.

Skills

Leadership and team management

Designing large-scale data pipelines

Python programming

Experience with Ray or Spark

Tools

Dagster

Data-quality validation frameworks

Job description

A technology company specializing in medical data is looking for an ML Data Engineering Lead in Amsterdam. This hybrid role involves leading technical teams, owning data architectures, and collaborating with ML researchers to enhance data systems. Candidates should have strong leadership skills and expertise in Python and large-scale data pipelines. The position offers competitive salary and benefits, including vacation days and a learning budget.