> Markdown version of [/jobs/ext/3882759-bi-engineer](https://www.wearedevelopers.com/jobs/ext/3882759-bi-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# BI Engineer

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £50,000.0 - £60,000.0
- **Contract:** Temporary to permanent
- **Skills:** Data Integration, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Data Warehousing, Database Development, Python (Programming Language), Microsoft SQL Server, SQL Server Analysis Services, Transact-SQL, Azure Data Factory, Star Schema, Data Pipelines
- **Published:** October 23, 2026
- **Apply:** https://www.reed.co.uk/jobs/bi-engineer/57485753

## About the Role

You will have strong commercial experience with:

 * SQL Server and SQL development.
 * ETL development and data pipeline engineering.
 * Data warehousing principles and dimensional modelling.
 * Star schema, Kimball methodologies, semantic models, and tabular models.
 * DAX.
 * Working within fast-paced delivery environments.
 * Communicating effectively with both technical and non-technical stakeholders.
 * Experience within a consultancy environment would be highly beneficial.
 * Exposure to Azure data services, Data Vault modelling, or Python would also be advantageous.

## Description

This is an excellent opportunity for a BI Engineer to join a growing data consultancy delivering complex data and analytics solutions for investment and financial services clients. You'll work on challenging data integration projects, gain exposure to a variety of modern data environments, and develop both your technical and consulting skills within a collaborative, high-performing team., As a BI Engineer, you will play a key role in designing, developing, and supporting data solutions for client projects., * Building and maintaining ETL pipelines and data integration processes.

 * Developing, optimising, and troubleshooting complex SQL Server and T-SQL solutions.
 * Creating and enhancing semantic and tabular data models.
 * Supporting SSAS cube development and DAX calculations.
 * Applying dimensional modelling and data warehousing best practices.
 * Working with analysts and stakeholders to translate business requirements into technical solutions.
 * Investigating and resolving data quality and reporting issues.
 * Supporting testing, quality assurance, and deployment activities.
 * Collaborating across project teams to deliver scalable and reliable data solutions.