Overview
Engage business areas to capture and refine data requirements; define data product specifications including table schemas; design data models supporting analytics and efficient retrieval; support creation of reports, queries, dashboards in a new lakehouse environment; develop and execute test plans; write and optimise SQL for data validation and workload creation; document data models, processes, and workflow changes; track industry trends in data management.
Timeline
Start: May 2026 • End: 31.03.2028
Key Responsibilities
* Engage business areas to capture and refine data requirements
* Define data product specifications incl. table schemas
* Design data models supporting analytics and efficient retrieval
* Support creation of reports, queries, dashboards in a new lakehouse environment
* Develop and execute test plans
* Write and optimise SQL for data validation and workload creation
* Document data models, processes, and workflow changes
* Track industry trends in data management
Required Background
* 7+ years as BA/Developer/Data Analyst
* Proven BA experience on data projects in financial services
* Strong understanding of Middle Office, Risk, Finance processes
* Advanced SQL and complex query optimisation
* Solid data modelling and schema design
* Familiarity with modern data platforms and architecture
* Degree in Computer Science/IT/Data or equivalent
* Proactive, independent, detail‑oriented, strong communicator
Nice to Have
* Experience with lakehouse tech (Iceberg, Cloudera CDS, Databricks, Snowflake)
* ETL tools (Spark, dbt)
* Java understanding
* Bash scripting
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