Data Engineer

Salary: £75,000 - 75,000 per year

Requirements:

• Experience of building a data warehouse using an ETL/ELT tool
• Star schema/dimensional modelling
• Good knowledge of standard data formats (XML, JSON, csv, etc)
• Proven experience of delivering BI solutions for business requirements
• Experience of developing using an Agile development approach
• Proficient in turning raw, structured, and unstructured data into meaningful insights and recommendations
• Efficient at handling large data sets in data platforms (such as Oracle, Snowflake), with mastery of SQL and Power BI
• Additional proficiency in Python or R is an asset
• Experienced in delivering complex projects involving multiple teams/stakeholders
• Excellent communication skills with the ability to build relationships at all levels
• Highly customer focused with the ability to work collaboratively
• Able to perform effectively as a sole developer and work collaboratively with the BI Team

Responsibilities:

• Designing, building, and maintaining a Data Warehouse and related applications
• Analysing, developing, delivering, and managing business intelligence reports in OAS and other tools
• Assisting in the design of the ETL process, including data quality, reconciliation, and testing
• Contributing to technical process improvement initiatives
• Supporting UAT processes by working with stakeholders to successfully sign-off business requirements
• Assisting in prioritisation and estimation of project work
• Transforming data into meaningful insights and recommendations

Technologies:

• Business Intelligence
• Data Warehouse
• ETL
• Support
• JSON
• Oracle
• Power BI
• Python
• SQL
• Snowflake
• XML
• Apex
• AWS
• Lambda
• Cloud
• DMS
• Machine Learning
• ODI

More:

We are a leading and customer-centric financial services company located in Bristol, offering extensive benefits for our employees. Our team is experienced and innovative, engaged in multiple data-focused projects following Agile practices. As a Data Engineer, you will support automation and integration of various data systems, developing business intelligence solutions to deliver seamless reporting to our stakeholders. We value collaboration and are committed to providing a supportive work environment.

last updated 30 week of 2026