Staff Engineer
HybridWarsaw, Mazovia, Poland
Job Summary
Define and evolve the technical vision, roadmap, and architecture for the Data Platform, driving decisions across data, platform, and infrastructure domains. Establish engineering standards, best practices, and reusable patterns while partnering with Enterprise Architecture to influence technical direction. Drive engineering excellence by improving code quality, testing, observability, reliability, and operational practices. Support end-to-end delivery by guiding teams through complex technical challenges, improving decision-making, and contributing to planning and risk management. Mentor engineers to grow senior technical capabilities and champion AI-assisted development and engineering automation. Build scalable, reliable, and well-governed data platform capabilities supporting analytics, AI, and business-critical products within the global job-tech platform.
Required Qualifications
- Proven experience as a Staff Engineer, Principal Engineer or in an equivalent senior individual contributor leadership role
- Strong background in data platforms, distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders
- Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions
- Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing
- Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog)
Desired Qualifications
- DBT or AI-assisted engineering practices as a plus
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