Middle Data Engineer/ Data Lakehouse
Core
Design and maintain a data lakehouse serving millions of daily financial events (bets, transactions, odds) for 12M+ users, ensuring accurate, consistent, and traceable data for Analytics, Finance, and Regulatory teams.
Role type
Mid-level data engineer (lakehouse architecture)
Builds
Bronze/silver/gold layer data lakehouse on AWS S3 and Snowflake/Databricks
Domain
Financial technology / Data engineering
Required skills
Lakehouse architecture (Iceberg/Delta/Hudi), CDC streaming (Kafka/Debezium), SQL and data modeling, Python, Airflow/Dagster, cloud object storage (S3/GCS), data governance (lineage, access control, PII masking), query optimization at TB+ scale
Preferred skills
null
Technologies
AWS S3, Snowflake, Databricks, Kafka, Debezium, Iceberg, Delta, Hudi, Trino, Athena, Python, Airflow, Dagster
Responsibilities
Own lakehouse architecture and layering; ingest operational data via CDC streaming; design data layout for speed and cost; manage retention and archival; guarantee data correctness and freshness; own data governance and security; monitor ingestion health and cloud spend
Seniority
Mid-level, hands-on IC
