> Markdown version of [/jobs/ext/3882682-data-specialist](https://www.wearedevelopers.com/jobs/ext/3882682-data-specialist). 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). --- # Data Specialist - **Company:** Tilt Recruitment Limited - **Location:** Wilmslow, UK - **Salary:** £104,000.0 - **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 23, 2026 - **Apply:** https://www.totaljobs.com/job/data-specialist/tilt-recruitment-limited-job108226983 ## About the Role 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, hospitality or retail data would also be useful, but is not essential. You don't need to have led a major data migration or worked at enterprise architect level. The important thing is having the right technical foundations, a practical mindset and the motivation to learn. ## Description * 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, secure and available when needed. * Contributing to improvements in data quality, performance and delivery processes. * Documenting solutions and sharing knowledge across the team., If you're a Data Engineer who enjoys combining data engineering with BI and reporting, we'd love to hear from you.