Lead Data Platform Engineer
TLDR
Own and evolve a cloud-native data platform post-migration, guiding architecture and delivering scalable analytics for large-scale digital audience measurement.
- 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.
- 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.
- 100% remote-first setup with full flexibility in working location and hours
- High autonomy and ownership culture with minimal bureaucracy and fast decision-making
- Opportunity to shape and evolve a mission-critical, large-scale data platform post-migration
- Strong engineering culture with focus on quality, scalability, and continuous improvement
- Collaborative, low-ego team environment with open knowledge sharing
- Access to a broader SaaS ecosystem and internal expert community for learning and exchange
- Meaningful technical impact on a system used across major European media stakeholders
- Long-term product and platform ownership rather than short-term project delivery
Requirements:
Benefits:
Benefits
Long-term product and platform ownership
Long-term product and platform ownership rather than short-term project delivery
Remote-Friendly
100% remote-first setup with full flexibility in working location and hours
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services