Lead Data Platform Engineer
New
Based in NetherlandsFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- German (C1), English
- Experience
- 5+ years
- Required Skills
- SQLGCPData engineeringGoCI/CDTerraformData modelingBigQuery
Requirements
- 5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments.
- Strong proficiency in Go (Golang), used in backend systems such as ingestion services, Pub/Sub processors, Dataflow jobs, and tooling.
- Hands-on experience with GCP services including Pub/Sub, BigQuery, Cloud Run, Dataflow, Cloud Storage, and Cloud SQL.
- Strong SQL expertise and solid data modeling capabilities; experience with SQLMesh or similar tools is a plus.
- Experience with Terraform, CI/CD pipelines, and containerized, serverless-first architectures (Cloud Run preferred).
- Familiarity with Protobuf or other schema definition/serialization frameworks.
- Experience with AI coding assistants and strong judgment in reviewing AI-generated code for quality and risk.
- Exposure to or interest in digital audience measurement, web analytics, or related data-heavy domains is highly valued.
- Strong communication skills with the ability to align technical and non-technical stakeholders.
- Fluent German (C1) required and good English for documentation and cross-team collaboration.
Responsibilities
- Own and evolve the full data platform lifecycle, including ingestion, streaming, batch processing, data modeling, aggregation, and reporting pipelines.
- Define and execute the technical roadmap post-migration, focusing on stability, scalability, cost efficiency, and operational excellence.
- Strengthen observability, monitoring, alerting, and incident management for business-critical data workflows.
- Establish engineering standards for code quality, testing, documentation, and secure AI-assisted development practices.
- Drive improvements in data quality controls, validation frameworks, and operational safeguards across the platform.
- Lead architectural decisions and technical direction while remaining hands-on with core system development.
- Collaborate with Product, Customer Success, and leadership to translate business needs into scalable technical solutions.
- Guide external contributors and ensure sustainable internal ownership of all critical platform components.
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