Data Engineer

About the role

The bank is looking for a Data Engineer to design, model, and optimise data warehouses and data marts. You will be responsible for preparing data from various source systems for reporting and analytics.

Key responsibilities

• Design, model, optimise and support data warehouses and data marts.
• Collect, transform and ready data from multiple bank databases and systems for reporting tools.
• Configure and maintain ETL/ELT pipelines and related data‑engineering tools.
• Analyse and resolve complex data problems within a Big Data ecosystem (preferred).
• Integrate bank data into Big Data environments (preferred).

Required profile

• Technical or economic university degree.
• Minimum 2 years of relevant experience.
• Knowledge of relational and non‑relational database design and modelling.
• Understanding of data analytics concepts and ETL/ELT processes.
• Experience managing data‑engineering processes, including implementation, monitoring and support.

Required skills

• Python or Scala programming.
• Complex SQL query writing (Oracle PL/SQL preferred).
• Real‑time streaming technologies such as Kafka or Spark Streaming (preferred).
• Big Data tools: Hive, Spark, Hadoop, Presto (preferred).
• Containerisation and orchestration with Kubernetes, Docker (preferred).
• CI/CD tools like GitHub and Jenkins (preferred).