Staff Data Platform Engineer
Berlin · 7+ years experience · Full-time · Hybrid · Posted Oct 2, 2026
At a glance
- Experience
- 7+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Berlin
About the role
- The Staff Data Platform Engineer will join the Data Platform team to build and operate the shared foundation powering analytics, machine learning, business intelligence, and AI-driven experiences.
- As a senior individual contributor, this role shapes how data is moved, stored, governed, and served at scale across the company.
Responsibilities
- Design and evolve the architecture of the shared Data Platform, including streaming, lakehouse storage, and distributed query infrastructure.
- Deliver high-impact platform initiatives end-to-end from problem framing to operational handoff.
- Define and promote technical standards for data contracts, schema evolution, and ingestion patterns.
- Develop reusable patterns and reference architectures for streaming ingestion, compaction, and schema governance.
- Establish reliable observability across the platform including pipeline monitoring and data quality checks.
- Collaborate with Operations, Security, Engineering, and Product teams to evolve the platform.
- Drive the semantic layer and metadata strategy to support self-service analytics and AI-driven data access.
- Evaluate technologies across streaming, storage, query, orchestration, and cloud infrastructure.
- Coach and mentor engineers through design reviews, code reviews, and pairing.
- Own complex architectural and operational challenges including failure recovery and performance degradation.
Requirements
- 7+ years of professional experience in data engineering, with time at a senior or staff level.
- Experience designing and operating lakehouse architectures at scale using open table formats, columnar storage, and cloud object storage.
- Experience building and operating streaming data pipelines with event-driven ingestion and exactly-once delivery semantics.
- Hands-on experience with data contracts, schema governance, metadata, or semantic-layer systems.
- Strong Python skills with a track record of writing maintainable, testable production code.
- Experience deploying and operating data workloads on Kubernetes.
- Proven ability to influence multiple teams and communicate architectural trade-offs.
- Experience mentoring engineers and raising technical standards.
Benefits
- Work from (almost) anywhere for up to 20 days per year
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to HeadSpace
- Company-wide week off per year
- No meeting Fridays
- Paid parental leave
- Paid volunteer time
- 6 weeks paid vacation plus birthday off
- Free lunch 2 days per week
- Pension plan contributions
Workplace
- Required to work from the Berlin office 3 days per week.
Skills
- Python
- Apache Iceberg
- Parquet
- Kubernetes
- Trino
- Apache Airflow
- AWS
- GitHub Actions
- Java
