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# Data Engineer

- **Company:** Veezu
- **Location:** Cardiff, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Software as a Service, Databases, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Queries, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Power BI, SQL Stored Procedures, SQL Databases, Transaction Data, Data Ingestion, Git, Microsoft Fabric, Pyspark, Data Lineage, Restful APIs, Azure Synapse Analytics, Software Version Control, Data Pipelines, Web Api
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9ecd701d236bc3d5

## About the Role

* 2-4 years' experience in a data engineering role.
 * Strong SQL skills, including complex transformations and performance tuning.
 * Hands-on experience with Microsoft Fabric (or Azure Synapse / Data Factory and a willingness to move to Fabric).
 * Python and PySpark for data ingestion and transformation.
 * Experience integrating data from APIs and other external sources.
 * Good knowledge of data warehousing and dimensional modelling (Kimball).
 * Experience with Power BI and semantic models.
 * Understanding of data quality, testing and reconciliation, and experience with Git / source control.
 * Confidence communicating with technical and non-technical stakeholders.

Nice to have

 * CI/CD and automated testing for data pipelines.
 * Microsoft Fabric certification (e.g. DP-600 or DP-700).
 * Lakehouse / medallion architecture design patterns.
 * Experience with data governance, security and lineage.
 * Experience with high-volume transactional data, ideally in transport, mobility or on-demand services.

## Description

* Design, build and maintain ETL/ELT pipelines in Microsoft Fabric using Pipelines, Notebooks, Lakehouses, Warehouses and OneLake.
 * Write PySpark notebooks to ingest and transform data from SQL Server databases, REST APIs, SaaS applications and file-based exports.
 * Develop and optimise SQL transformations, stored procedures and Kimball-style star-schema data models.
 * Build and support Power BI semantic models and the datasets behind dashboards used by teams across the business.
 * Implement data quality, validation and reconciliation checks so numbers match across systems.
 * Monitor production pipelines and troubleshoot data, performance and refresh issues.
 * Use Git, automated testing and CI/CD to support reliable, repeatable deployments.
 * Maintain clear documentation, data lineage and engineering standards.
 * Work with analysts and business stakeholders to turn requirements into practical data solutions.
 * Be committed to maintaining our ISO27001 certification and set high standards for Information Security compliance.