Senior/Lead Data Platform Engineer
Team: Banking Products
Location: Warsaw, Mazowieckie, Poland
Commitment: Hybrid
Workplace Type: hybrid
Responsibilities:
- Design, build, and maintain our data warehouse and operational reporting platform on AWS.
- Develop and maintain data pipelines ingesting data from multiple sources including ThoughtMachine Vault.
- Build and maintain data models ensuring data accuracy, consistency, and accessibility.
- Work with business stakeholders to understand their data needs and build reports and dashboards.
- Ensure data platform compliance with data privacy regulations, including PCI DSS.
- Implement data quality monitoring and alerting.
- Produce the S3 data model for downstream analytics consumption.
- Collaborate with other squads to ensure data integration requirements are met.
Requirements - Experience & Domain Knowledge:
- Minimum 5+ years of experience as a Data Engineer.
- Proven experience in FinTech, Banking, or a related financial domain is highly desirable.
- Understanding of data warehousing concepts and dimensional modelling.
- Experience working in an agile environment.
- Disciplined approach to following standards and documentation/evidence.
Requirements - Technical Skills:
- AWS Certification: AWS Developer Associate (required).
- Data Platforms: Experience with AWS data services (Snowflake, S3, Glue, Athena, Redshift).
- ETL/ELT: Proficiency with data pipeline tools (Airflow, dbt, Spark).
- SQL: Expert knowledge of SQL and data modeling.
- Programming: Strong Python skills for data engineering.
- Compliance: Understanding of PCI DSS requirements for data handling.
Nice to have:
- Experience with Snowflake or similar cloud data warehouses.
- Experience using AI design/code/test tooling to support.
- Knowledge of real-time data streaming (Kafka, Kinesis).
- Experience with BI tools (Snowflake, Tableau, Looker, Power BI).
- Understanding of banking data models and regulatory reporting.
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