Opportunity

Job description

Senior Data Engineer

Investment Banking

London (Hybrid)

£105K - £125K plus excellent bonuses and benefits

Harrington Starr has partnered with a Leading Investment Bank as they seek to add two talented Data Engineers to their small, world-class Data Science team based in London.

Our global client is the current market leader in their field of expertise and specialise in providing an extensive array of banking and advisory services encompassing investment banking, financial markets and equities.

They are seeking to find candidates with strong software engineering skills and a passion for building scalable and reliable data infrastructure. The role will involve designing, developing, and maintaining robust financial market data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies.

What you need:

• BSc, MSc, or PhD in Computer Science, Electrical Engineering, Data Science, or a related field.
• 3+ years of hands-on experience as a Data Engineer, building ETL pipelines, processing financial data, and managing data lifecycle.
• Strong programming experience in Python and SQL, with expertise in optimising performance
• Experience building and deploying containerized applications using Docker and Kubernetes.
• An understanding of System Architecture
• Proficiency in Airflow is highly desirable.
• Knowledge of MongoDB and Data Visualization tools such as Qlik, PowerBI & Tableau desirable also

My client is offering a salary of up to £125,000 for this hire alongside a comprehensive benefits package to include market-leading bonuses. Their office is based in Central London, and they are operating a hybrid remote working policy.

Please send your CV via the link or reach out directly to Graeme King at Harrington Starr for a confidential chat!