About the job

Iris's client, one of the world's largest multinational Investment banking and financial services corporations, is looking to hire a Senior Data Engineer opportunity.

Work location: London, UK (Hybrid Onsite – 3 days a week office)

Job description

A Senior Data Engineer with strong Databricks and Python experience to develop scalable data pipelines and analytics solutions supporting CCAR and regulatory reporting.

Role Description:

Support data engineering and integration initiatives, working with regional and global teams on financial markets data flows.

Design, develop, and deploy cloud-based data solutions for Risk, Regulatory, Finance, and Compliance.
Partner with business and product teams to translate requirements and process gaps into technology solutions.
Collaborate with architects, DBAs, cybersecurity, and other IT teams on application design and integration.
Participate in development planning, prioritization, and technical discussions.

Must Have Skills

Databricks, Python, and SQL.
Financial services experience, preferably capital markets.
Understanding of data pipelines, ETL/ELT, and end-to-end data flows
Experience building large-scale batch and real-time data pipelines with data processing frameworks on any cloud Azure or AWS platform).
Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards
Good problem-solving and communication skills

How To Apply:

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Responsibilities