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# Data Engineer

- **Company:** ICAEW
- **Location:** Milton Keynes, UK
- **Salary:** £48,000.0 - £53,000.0
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Code Review, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Meta-Data Management, SQL Databases, Systems Integration, Data Processing, Azure Data Factory, Apache Spark, Data Lineage, Star Schema, Data Pipelines, Databricks
- **Published:** September 23, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5894261317

## About the Role

* Solid hands-on experience with Azure Data Factory, including end-to-end pipeline delivery
 * Proficient in Python, Spark and SQL for data processing and transformation
 * Experience with Databricks in a production or near-production environment
 * Practical experience building and maintaining ETL/ELT pipelines in a cloud environment
 * Working knowledge of data modelling concepts including star schema and dimensional modelling

## Description

We're looking for a Data Engineer to join our team in Milton Keynes on a permanent basis. This role offers a salary of £48,000 - £53,000 per annum with a hybrid working pattern.

ICAEW is evolving the way it manages and uses data by modernising how data is ingested, modelled and shared across the organisation. This work will help improve analytics, reporting and decision-making across a wide range of business areas.

As a Data Engineer, you will design and build data pipelines, integrations and data models that support these initiatives. Working closely with the Data Engineering Lead, Architects and Analysts, you'll contribute to the team's engineering practices and help deliver reliable, scalable data solutions that enable colleagues to make better use of data.

What you will be doing:

 * Build and maintain robust data pipelines, ingestion processes and integrations using Azure Data Factory and Databricks and related services.
 * Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards
 * Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview
 * Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering standards and practices
 * Collaborate with other engineers through pairing, code reviews and shared problem-solving


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