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# Data Engineer

- **Company:** 17918
- **Location:** Wilmslow, UK
- **Salary:** £60,000.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Warehousing, Database Queries, Power BI, SQL Databases, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Tools for Reporting, Data Pipelines, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer/52977280

## About the Role

secure and available when needed. Contributing to improvements in data quality, performance and delivery processes. Documenting solutions and sharing knowledge across the team. What we're looking for We're interested in someone with a good grounding in data engineering who wants to continue developing their skills. You'll ideally bring: Hands-on experience with Azure Databricks and PySpark. Strong SQL skills, including data transformations and querying complex datasets. Experience developing or maintaining ETL/ELT data pipelines. Knowledge of Azure Data Factory or similar data integration tools. An understanding of dimensional data modelling and lakehouse concepts. Experience working with BI teams, Power BI datasets or reporting solutions. A collaborative approach, good problem-solving skills and the ability to communicate technical concepts clearly. Experience with Delta Lake, Azure DevOps, CI/CD or ITIL-aligned environments would be beneficial. Exposure to finance, procurement

## Description

accessibility across operational, financial and client reporting. This is a hands-on role where you can build on your existing experience, learn from others and develop your technical skills within a business investing in its data capabilities. The position is offered on an initial 12-month fixed-term contract, with the intention of providing a longer-term opportunity and potential for permanent employment. What you'll be doing Building and maintaining data pipelines within Azure, using Databricks, PySpark and Azure Data Factory. Developing SQL and Spark transformations to ingest, cleanse and prepare data from multiple sources. Applying data modelling and lakehouse principles to create reliable, reusable datasets. Supporting data migration and integration as part of a wider business transformation programme. Preparing and optimising datasets to support Power BI reporting and business intelligence. Working with internal teams and external vendors to ensure data is accurate, traceable