Data Engineer - (PySpark / Credit risk)
Posted 1 week ago by GIOS Technology
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The role of Big Data Engineer – Counterparty Credit Risk (CCR) involves working in a hybrid environment in London, focusing on software and data engineering within enterprise settings. The position requires advanced expertise in Spark, Scala, and Python, along with extensive experience in designing and building large-scale ETL/ELT pipelines. Candidates should have a strong understanding of trade data and counterparty credit risk, with excellent communication skills to lead cross-functional initiatives.
Key Responsibilities:
- Design and build large-scale ETL/ELT pipelines in distributed systems.
- Tune Spark applications and manage distributed compute resources efficiently.
- Work with trade data and counterparty credit risk (CCR) workflows.
- Collaborate with cross-functional teams and lead initiatives.
Key Skills:
- Spark
- Scala
- Counterparty Credit Risk
- ETL
- Banking
- Hadoop
- Market Risk
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
I am hiring for Big Data Engineer – Counterparty Credit Risk (CCR) Location: London - Hybrid / 2-3 days Per week in Office Software or data engineering experience in enterprise environments. Advanced expertise in Spark, Scala, and Python. Extensive experience designing and building large-scale ETL/ELT pipelines in distributed systems. Proven ability to tune Spark applications and manage distributed compute resources efficiently. Strong understanding of trade data, counterparty credit risk (CCR), and market/risk workflows (preferred). Experience working within global banking or financial services environments. Excellent communication skills and ability to lead cross-functional initiatives.
Key Skills: Spark / Scala / Counterparty Credit Risk / ETL / Bank / Hadoop / Market Risk