Head of Data | hands on engineer – Snowflake / Financial Data | London [Onsite]

We are working with a global asset management firm who are looking to hire a Senior Data Engineer into its London IT team. The title is Head of Data but this will very much be a hands-on engineering position with one or two direct reports and exposure to the CEO. The team has a flat structure and owns the firm's front and middle office applications, working across front office, operations, risk, finance, compliance and legal, so you'll be close to the business.

You'll join a major migration programme moving investment, accounting, risk, performance, reconciliation and reporting functions off complex vendor platforms and onto a new data and reporting architecture built largely from scratch. You'll also support the firm's AI initiatives and help run the platform once it's live. This suits someone who has worked with large, messy financial datasets in production and enjoys both the engineering and understanding what the data means.

What you'll be doing

• Designing and building end-to-end data solutions in Snowflake, with a focus on scalability, performance and reliability (they are agnostic on data platform use)
• Working across multiple source systems and data models (transactions, positions, valuations, performance, risk) and reconciling how they fit together
• Writing performance-aware SQL and building data models suited to high-volume financial data
• Owning data quality, validation and financial correctness
• Building data models, dashboards and reports that give senior stakeholders useful insight
• Running gap analysis on existing systems and processes and recommending improvements
• Explaining outcomes, assumptions and trade-offs clearly to technical and non-technical colleagues

What they're looking for

• Senior level data engineering experience in financial services
• Strong SQL and Python
• Hands-on cloud based data warehouse experience (Snowflake ideally but not a must have) and solid ETL experience
• A good grasp of relational databases and data modelling
• Experience with Sigma, Power BI or a similar BI tool
• A methodical approach and strong attention to detail
• Experience conversing with PMs and Traders and advising on best practices
• Familiarity with AI tools for analysis and with Agile ways of working
• A degree in IT, Data Science, Business or a related field, or equivalent experience

Due to demand, we are advertising this opportunity anonymously. If you would prefer to speak with someone before submitting your CV, please send a blank application and a member of the team will be in touch to discuss the role further.

Given the volume of applications we receive, we are only able to respond to candidates whose experience closely matches the requirements of the position.