Veezu - Data Engineer
Requirements
• Essential • 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. • 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. • Where you’ll be: • Where you’ll be: • This role is hybrid, based out of our Cardiff HQ, with 3 days per week in the office. • Veezu is committed to fair and inclusive recruitment, welcoming applications from all backgrounds, experiences, and communities.
Responsibilities
• As a Data Engineer, you'll build and maintain the data platform that powers reporting, analytics and data science across Veezu. Reporting into the Director of Data Engineering, you'll work hands-on with Microsoft Fabric, SQL, Python/PySpark and Power BI, bringing data in from our booking systems, databases and third-party APIs and shaping it into trusted, well-modelled datasets that the business relies on every day. • Who are Veezu? • Veezu is the UK's fastest growing taxi and private hire technology business operating across hundreds of UK towns and cities. We are a tech-driven on-demand mobility service that supports our hyper-local communities, helping them thrive and so much more! • 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.
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