[Hiring] Senior Data Engineer @Poland and Central-Eastern Europe

Role Description

You will be:

• Proposing and driving the architecture for user-data handling across Airflow, Spark, dbt and BigQuery, including encryption points, derived tables, backfills and partitioning.
• Migrating existing pipelines one at a time while keeping their outputs unchanged, using a regression harness you build.
• Designing and introducing processes the team will use after the migration, including pipeline change reviews, testing standards, incident post-mortems and release checklists.
• Refactoring pipelines to remove duplicated steps and copy-pasted logic.
• Building verification jobs to demonstrate that data-lifecycle rules are followed end to end.
• Pairing with and mentoring a data engineer, with the goal of enabling the team to own the migrated pipelines independently.
• Sharing pipeline maintenance and incident handling, and addressing root causes.
• Documenting key decisions in concise architecture decision records.

Qualifications

• Deep hands-on experience with Airflow, Spark, dbt, BigQuery and Python.
• A track record of technically leading at least one pipeline migration from start to finish.
• Experience refactoring a live pipeline and proving that its output remained unchanged.
• Proven ability to introduce engineering practices such as testing, code review and incident handling, and help a team adopt them consistently.
• Mentoring experience with a concrete outcome.
• A hands-on approach to technical decisions, combined with the ability to support and guide other engineers.
• Work from the European Union region and a work permit are required.

Requirements

• Experience with encryption at rest, data retention or deletion compliance, for example GDPR.
• Experience with envelope encryption and a key manager such as GCP KMS, BigQuery AEAD functions or Tink.
• Experience with BigQuery column-level security, policy tags or Data Catalog.
• Experience with Config Connector (KCC) for managing GCP resources from Kubernetes.
• Experience working with Kafka events.

Recruitment Process

• CV review
• HR call
• Interview
• Client Interview
• Decision