Data Engineer FTC

Salary: £? - ? per year

Requirements:

• Proven experience in a data engineering or technical business intelligence role
• Strong SQL and/or Python skills for handling and automating data
• Experience building data pipelines and working with APIs
• Strong attention to data accuracy and practical problem-solving skills
• Ability to explain technical work to non-technical colleagues
• Strong communication skills and experience working across different teams
• Microsoft Fabric experience would be an advantage
• Experience working with Salesforce data would be beneficial
• Familiarity with public sector, economic development, or strategic reporting frameworks would be useful
• Knowledge of ethical AI or preparing data for machine learning would be relevant

Responsibilities:

• Design and maintain automated ETL and ELT processes to integrate data from core systems and APIs
• Support the technical setup and day-to-day maintenance of a central data lake
• Carry out validation checks to keep data accurate and synchronised across systems
• Build and maintain data architecture to support strategic reporting and insight work
• Automate manual data validation processes and reduce reliance on external spreadsheets
• Support data governance, quality monitoring, and consistent reporting definitions
• Work with technical and business teams to improve data quality and reporting consistency
• Help colleagues access and understand trusted data

Technologies:

• AI
• Business Intelligence
• ETL
• Fabric
• Support
• Machine Learning
• Python
• SQL
• Salesforce

More:

We are a well-established London-based organisation looking for a Data Engineer to support the technical delivery of our data strategy on a 6 month fixed-term contract. This role sits within our Technology and Data team and offers the opportunity to help shape how we use data to improve insight, reporting, and decision making. We are at an early stage of our data transformation, so there is scope to contribute to foundational structures rather than simply maintaining mature systems. The role provides exposure to data warehousing, self-service reporting, data governance, and the technical preparation needed for ethical AI and machine learning activity. We offer a strong benefits package, and the hybrid working pattern provides a sensible balance between office collaboration and focused work from home. The role is based in Central London, with 1-2 days per week in the office, working 35 hours per week on a pro rata salary of £50,000.

last updated 31 week of 2026