Data Engineer - Snowflake - Investment Management

We are looking for a dedicated Data Engineer to join the Finance Analytics Technology team at a leading Investment Manager. In this role, you’ll play a key part in building, maintaining, and optimising a modern data ecosystem. This permanent opportunity involves working with leading technologies, including Snowflake, Python , and Azure , to deliver high-quality data solutions that support business-critical decision-making.

With a hybrid working model and three days a week in the office, this role provides the chance to collaborate closely with cross-functional teams in a dynamic and supportive environment.

Key Responsibilities:

• Design, build, and optimise scalable data pipelines using ETL and ELT methodologies.
• Utilise Snowflake for efficient data storage, processing, and analytics.
• Automate data processes and integrate data from multiple sources using Python and SQL .
• Leverage Azure cloud-native technologies to enhance data infrastructure, ensuring scalability, performance, and security.
• Participate fully in the agile development lifecycle, including sprint planning, design reviews, and delivering data tasks within two-week cycles.
• Ensure compliance with existing standards while contributing to the refinement of best practices in cloud data engineering.
• Expertise in building data pipelines and architectures with Snowflake and Python.
• Familiarity with Azure and other cloud-native technologies.
• Strong understanding of finance-related data domains and their application in data engineering.
• Knowledge of reporting tools such as Power BI.
• Familiarity with SAP FI or platforms like SAP BW, SAP Analysis, and Business Objects or Informatica or similar ETL tooling.

This is an exciting opportunity to contribute to meaningful data-driven initiatives, working with a forward-thinking team on innovative projects. If this sounds like your next step, we’d love to hear from you!

Seniority level

Not Applicable

Employment type

Full-time

Job function

Information Technology

Industries

Investment Management, Financial Services, and Technology, Information and Media

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