Careers
Junior Data Integration Engineer
Help build the data foundations behind MyMoney and Rawi. You will integrate banking data into our ODS and lakehouse layers, working with modern formats like Apache Iceberg and supporting structured mentorship from senior engineers.
Data Pipelines, ODS & Lakehouse
Role scope.
Build the data pipelines that make enterprise AI accurate, reliable, and audit-ready.
What you will work on
- ETL/ELT pipelines from core banking, cards, and transactional systems into ODS and data lake layers
- Batch and incremental ingestion patterns (CDC, change tables, snapshots) in Python, Java, or Spark
- Lakehouse tables in Apache Iceberg (or equivalents) with Parquet/ORC storage
- Schema evolution, partitioning, and table maintenance (compaction, snapshot expiration)
- Connectors for REST APIs, Kafka, file drops, and direct database links
- Data quality checks, validation rules, and reconciliation with source systems
- Pipeline observability: monitoring health, alerting on freshness and completeness
- Documentation of data lineage, transformations, and known limitations
Strong candidates have
- Bachelor’s in CS, Software Engineering, Data Engineering, or related field
- 1–3 years of experience; strong SQL across relational databases
- Working knowledge of Python or Java for scripting and data processing
- Foundations in ETL/ELT, batch vs. streaming, and data modeling
- Familiarity with REST APIs, Git, and the SDLC
- Bonus: lakehouse formats (Iceberg/Delta/Hudi), Kafka, Spark, Airflow/Dagster/Prefect, object storage, banking data