Jobs / Saas.group
Lead Data Platform Engineer
Saas.group · Berlin, BE, Deutschland
Berlin, BE, DeutschlandExp: 5+ yrsRemote
Remuneration
Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview.
Location
Berlin, BE, Deutschland
Visa sponsorship
Not specified
Job summary
INFOnline, part of saas.group, is seeking a Lead Data Platform Engineer to own and evolve its newly built GCP-native data platform. This hands-on technical leadership role involves defining the platform's maturity, setting technical direction, making architecture decisions, and establishing engineering standards. The engineer will also drive AI-native engineering practices to enhance speed and quality.
Benefits
Ultimate flexibilityFreedom and autonomyMinimum bureaucracySmall and friendly teamAccess to saas.group network
Qualifications
- 5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments.
- Solid Go (Golang) proficiency is required.
- Strong hands-on experience with GCP Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Storage, and Cloud SQL.
- Strong SQL and analytical data modeling skills.
- Practical experience with Terraform / IaC, CI/CD pipelines, and containerized workloads (Docker; Cloud Run-style serverless, not cluster Kubernetes).
- Experience with Protobuf or comparable schema definition and serialization frameworks.
- Familiarity with IVW, OEWA, or comparable digital audience measurement standards, or a genuine interest in the web analytics domain and the ability to ramp quickly.
- Experience with AI coding assistants and coding agents (Claude Code, Codex, or similar) and sound judgment in reviewing AI-generated code for quality, security, and operational risk.
- Excellent communication skills with both technical and non-technical stakeholders.
- Fluent German (C1) required.
- Good English for technical documentation and saas.group collaboration.
Responsibilities
- Own the end-to-end data platform roadmap and drive its execution from architecture decisions to day-to-day platform operations.
- Take accountability for data ingress, streaming processing, batch aggregation, data modeling, quality, delivery, and reporting logic.
- Ensure reliability, scalability, and performance through strong monitoring, observability, and incident management practices.
- Continuously improve the new GCP-native platform with a focus on stability, cost efficiency, maintainability, and business continuity.
- Collaborate closely with Product, Customer Success, and Leadership to translate business requirements into scalable technical solutions.
- Drive AI-native engineering adoption, including AI-assisted coding, refactoring, testing, documentation, and code reviews, and establish standards for safe, effective use.
- Work with external specialists where useful and establish sustainable internal ownership of all critical platform components.
Skills
BigQueryCloud RunCloud SQLdbtDockerGCPGoKubernetesPub/SubTerraform
Languages
Go (Golang)SQLGerman (C1)English
Industry
Media industryDigital audience measurement
Relocation
No