PySpark Developer
Indexed description
Developer (PySpark + Fabric) - London | Hybrid | 6 Month Contract
Opportunity for a strong PySpark Developer to join a large-scale financial data transformation programme focused on modernising critical data engineering and mastering platforms.
You’ll build and optimise PySpark pipelines handling complex financial instrument data, bi-temporal processing, streaming workloads, and publication pipelines across Microsoft Fabric and Azure ecosystems.
Key skills:
- Python 3.11+, PySpark 3.5, Spark SQL, Structured Streaming
- Microsoft Fabric, Lakehouses, Eventstream, Notebooks
- Azure Cosmos DB, Delta Lake, ADLS/OneLake
- CI/CD with GitLab, ARM Templates, Artifactory
- Great Expectations, pytest, DataDog, KQL
- Strong ETL/data modelling experience including temporal data patterns
- Experience building scalable, high-performance data pipelines
Desirable:
- Financial markets/reference data knowledge
- Entity resolution/matching systems
- Delta Lake CDF
- Power BI exposure
- Strong Azure cloud engineering background
Hybrid working in London with occasional travel between customer offices.
Excellent long-term project pipeline and strong day rates available for the right candidate.
For more information and direct contact with me, please send me an email and call only if required. I will be sure to check responses daily and shortlist the best candidates; if you are shortlisted, you will hear from me.
+44 7908143845
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