Data Engineer (Lakehouse)

The company is looking for a Senior Data Lakehouse Engineer to own the architecture and evolution of the data platform behind millions of financial events across 12M+ active users.

You’ll be responsible for how data is ingested, stored, retained, governed, and reconciled across S3 and Snowflake/Databricks, ensuring analytics, finance, and regulatory teams work with accurate and consistent data.

Responsibilities

• Own and evolve the lakehouse architecture, including bronze/silver/gold layers.
• Define data layout, partitioning, compaction, file sizing, and query optimization at TB+ scale.
• Design reliable CDC and streaming ingestion using Kafka and Debezium.
• Manage schema evolution and handle late, duplicate, and out-of-order events.
• Own retention, archival, immutability/WORM, and regulatory data requirements.
• Ensure data correctness through reconciliation, freshness SLAs, and drift detection.
• Define governance standards including lineage, access control, PII masking, encryption, and audit trails.
• Monitor ingestion health, platform performance, and cloud storage/compute costs.

Requirements

• 5+ years of experience in data engineering.
• Strong experience designing and owning lakehouse architectures.
• Hands‑on experience with Apache Iceberg, Delta Lake, or Hudi.
• Strong knowledge of S3, Snowflake, Databricks, Trino, or Athena.
• Experience optimizing large‑scale data platforms through partitioning, compaction, and storage design.
• Experience with CDC, Kafka, streaming pipelines, and schema evolution.
• Understanding of immutability/WORM retention, governance, and regulatory data requirements.
• Experience with financial, wallet, ledger, iGaming, fintech, or other audit‑heavy data is a strong advantage.

Please note: This is a hybrid role based in Kraków, requiring 2 days per week in the office. Fully remote candidates cannot be considered.