Senior Platform Engineer Data & ML
Hybrid · Amsterdam, North Holland, The Netherlands
Job Summary
Senior Platform Engineer - Data & ML to own and evolve the MLOps platform powering BridgeFund's automated lending; build data platforms that turn raw source data into high-quality data products like ML models and dashboards, establish platform-wide conventions for data modeling and data contracts, architect CI/CD across multi-repo ecosystems, ensure reliable scalable infrastructure, strengthen data governance, and mentor data teams while enabling cross-department collaboration. Responsibilities include building the MLOps platform for credit risk scoring, automated lending decisions, and transaction categorisation; standardising ingestion frameworks and data modelling conventions; implementing feature stores, model registry, and reusable training/inference pipelines; deploying across environments; and driving improvements to AI-assisted development workflows.
Required Qualifications
- 7+ years of experience as a Data Engineer, Platform Engineer or ML(Ops) Engineer
- Bachelor's or Master's degree in Computer Science, Engineering or another technical field
- Strong experience with Python and/or PySpark, and solid SQL skills
- Familiarity with Databricks and Databricks Asset Bundles (DABs)
- Experience with orchestration tools like Databricks Lakeflow Jobs, Airflow or Dagster
- Expertise in building multi-environment CI/CD deployment strategies across a multi-repo ecosystem
- Hands-on experience with unit and integration testing
- Understanding of containerisation techniques such as Docker
- Familiarity with data architecture and system design
- A proven track record of navigating cross-department environments, driving alignment, and executing technical solutions end-to-end; from ideation to production.
- The ability to translate complex technical concepts for non-technical peers and proactively mentor data teams to adopt mature governance standards.
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