About this role Salary: £40,000 - 45,000 per year Requirements: Strong commercial experience in Data Engineering, particularly developing data pipelines
using Python. Excellent SQL skills and a solid understanding of database design and data modelling. Experience working with cloud-based data platforms, ideally Microsoft Azure and/or Databricks. Knowledge of ETL/ELT processes and data integration techniques. Understanding of data governance, security and quality standards. Experience with version control and CI/CD practices. Strong analytical, problem-solving and communication skills. Desirable: Experience with Azure DevOps. Desirable: Knowledge of AI-driven automation and data pipeline monitoring. Desirable: Experience working with large, complex datasets. Desirable: Exposure to sports analytics, performance data, GPS tracking or similar datasets. Desirable: Experience collaborating with Data Scientists and analytics teams. Responsibilities: Design, develop and maintain scalable data pipelines using Python and SQL. Build and enhance a cloud-based enterprise data platform using Azure and Databricks. Develop robust data integration processes to support analytics, reporting and business intelligence. Ensure data quality, governance, security and compliance with relevant regulations. Undertake database administration activities, including performance optimisation, indexing and access management. Explore and develop AI-driven automation to monitor data pipelines and improve operational efficiency. Utilise Azure DevOps for version control, development workflows and collaboration. Work closely with Data Scientists, analysts and other stakeholders to deliver effective data solutions. Troubleshoot technical issues and continuously improve platform performance and reliability. Technologies: AI Azure Business Intelligence CI/CD Cloud Databricks DevOps ETL Support Python SQL Security More: We are seeking a hands-on Data Engineer to join a leading organisation in Southampton, Hampshire. This is a permanent, full-time role focused on developing and enhancing a modern, cloud-based data platform that supports performance analytics, operational efficiency and strategic decision-making. We offer a competitive salary and comprehensive benefits package, including 26 days of annual leave plus bank holidays and your birthday off, a contributory pension scheme, and health and wellbeing initiatives.
