Data Engineer – Capital Markets – 12 months

La Fosse Associates; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

La Fosse Associates in London is seeking an experienced Data Engineer to join the Capital Markets technology team on a 12-month contract in a flexible hybrid model. You will design and build scalable data platforms supporting front-office trading, risk, regulatory reporting and market data analytics.

Responsibilities include designing data pipelines, working with Python/SQL, Spark/PySpark, and cloud platforms like Databricks and Azure Data Services, and collaborating with stakeholders to deliver

Qualifications

• Strong Data Engineering background within Banking, Financial Services or Capital Markets.
• Expertise in Python and SQL.
• Experience with Spark, PySpark and streaming technologies.
• Experience with cloud data platforms such as Databricks and Azure Data Services.
• Strong understanding of ETL/ELT development and modern data architectures.
• Experience working with large-scale financial datasets.
• Excellent stakeholder management and communication skills.

Responsibilities

• Design, develop and optimise enterprise-scale data pipelines and platforms.
• Build and maintain data solutions supporting capital markets and a global trading functions.
• Develop cloud-native data engineering solutions using modern data technologies.
• Collaborate with business and technology stakeholders to deliver strategic data initiatives.
• Drive best practices across data quality, governance, performance and automation.

Skills

Python

SQL

Spark

PySpark

Databricks

Azure Data Services

ETL/ELT

Data Pipelines

Stakeholder Management

Tools

Databricks

Azure Data Services

Job description

Data Engineer | Capital Markets | London/Hybrid | 12 month contract

Location: London (Flexible Hybrid model) circa 1-2 day p/w in office

IR35: Outside

A leading, global financial services firm is seeking an experienced Data Engineer to join their expanding Capital Markets technology team. This is an opportunity to work on a large-scale data transformation programme, developing robust data platforms that services a range of key areas including front-office trading, risk, regulatory reporting, and market data analytics.

Working alongside stakeholders across Trading, Risk, Quantitative Research and Technology, you will design and build scalable data solutions that enable critical business decisions across global markets.

Key Responsibilities

• Design, develop and optimise enterprise-scale data pipelines and platforms
• Build and maintain data solutions supporting capital markets and a global trading functions
• Develop cloud-native data engineering solutions using modern data technologies
• Collaborate with business and technology stakeholders to deliver strategic data initiatives
• Drive best practices across data quality, governance, performance and automation

Required Experience

• Strong Data Engineering background within Banking, Financial Services or Capital Markets.
• Expertise in Python and SQL.
• Experience with Spark, PySpark and streaming technologies
• Experience with cloud data platforms such as Databricks and Azure Data Services.
• Strong understanding of ETL/ELT development and modern data architectures.
• Experience working with large-scale financial datasets.
• Excellent stakeholder management and communication skills

Desirable Experience

• Sector knowledge such as asset classes including Equities, Fixed Income, FX or Derivatives
• Exposure to data projects for front-office trading systems, market data or risk platforms.

If you’re an experienced Data Engineer looking to apply your expertise within a fast-paced, challenging, financial environment, we’d be keen to speak with you.