Lead Data Platform Engineer
New
Based in NetherlandsFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- Fluent German (C1 level) is required, along with good English
- Experience
- 5+ years
- Required Skills
- DockerSQLGCPData engineeringGoCI/CDTerraformData modeling
Requirements
- 5+ years of experience in Data Engineering, Data Platform Engineering, Platform Engineering, or a closely related field.
- Strong hands-on experience designing and operating production-grade cloud-native data platforms.
- Solid proficiency in Go (Golang) for developing and maintaining backend services and data processing systems.
- Extensive experience with Google Cloud Platform services, including Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, and Cloud SQL.
- Strong SQL skills and experience with analytical data modeling; familiarity with SQLMesh, dbt, or similar orchestration frameworks is an advantage.
- Practical experience with Infrastructure as Code using Terraform, CI/CD pipelines, Docker, and serverless deployment models.
- Experience with Protobuf or comparable schema definition and serialization technologies.
- Experience using AI coding assistants and the ability to review AI-generated code.
- Excellent communication and stakeholder management skills.
- Fluent German (C1 level) is required.
- Good English communication skills for technical collaboration and documentation.
Responsibilities
- Own the end-to-end data platform strategy, architecture, and operational roadmap from data ingestion through reporting and analytics delivery.
- Lead the continuous optimization of a cloud-native data platform, focusing on reliability, scalability, performance, maintainability, and cost efficiency.
- Oversee data ingestion, streaming pipelines, batch processing, data modeling, quality assurance, and reporting workflows.
- Strengthen platform observability through comprehensive monitoring, alerting, incident management, and operational best practices.
- Define engineering standards for documentation, testing, code reviews, infrastructure management, and AI-assisted software development.
- Drive the adoption of AI-native engineering practices, including AI-powered coding, testing, refactoring, documentation, and code quality reviews.
- Collaborate closely with product, customer-facing teams, leadership, and external specialists to deliver scalable, business-focused technical solutions.
- Mentor engineers, provide technical leadership, and establish sustainable ownership across critical platform components.
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