Data Engineer

Data Engineer

Farringdon, London (2 days onsite, 3 days WFH)

£65,000 - £75,000 depending on experience

Permanent, Full-Time

*Visa Sponsorship is not available for this role. You must have full/existing UK right to work documentation with no time limitation, and reside in the UK (London area) to be considered. Please ensure you answer all related qualifying questions accurately*

We’re looking for a Data Engineer to join a small, high-impact not-for-profit organisation within the Private Healthcare sector, where data sits at the core of everything they do. This is a hands-on role focused on building and maintaining a modern Azure-based data platform, supporting the storage, transformation and reporting of critical data.

You’ll work closely with senior technical stakeholders and play an active role in shaping how data is structured, processed and surfaced across the organisation.

The Role

This is a practical, delivery-focused position with a strong emphasis on SQL and Azure data engineering.

Core focus areas:

• ~70% SQL development and data engineering
• ~20–30% Power BI / Tabular modelling

You’ll be responsible for:

• Designing and maintaining SQL Server databases (tables, views, stored procedures, T-SQL)
• Building and optimising ELT/ETL pipelines in Azure Data Factory
• Designing data models and ensuring high data quality and integrity
• Supporting and developing Power BI Premium / Tabular models (DAX, semantic modelling)
• Contributing to data platform improvements within an Azure-focused environment

What We’re Looking For:

• Strong experience in a Data Engineer or similar data-focused role
• Strong SQL Server experience (T-SQL, stored procedures and query optimisation are a must)
• Strong Experience building or supporting Power BI / Tabular models
• Experience with Azure Data Factory (or similar ETL tools)
• Exposure to Microsoft Azure cloud environments

Nice to have:

• Experience with semantic modelling
• Exposure with or strong interest in AI-driven data solutions and/or emerging data trends

Working Arrangements:

• 2 days per week onsite in their new Farringdon office

Interview Process

1. Technical Teams Call
2. In-Person Interview