Senior Data Engineer

We’re recruiting for a Senior Data Engineer to join our team Portsmouth or Basingstoke! This is a permanent, full time role working 37 hours a week, with a minimum of 20% of this to be office based to promote collaboration and team working within the team and other colleagues across the business.

Want to know what we can offer you? 

• 26 days holiday (plus bank holidays) pro rata, with the opportunity to buy or sell annual leave
• A productivity-related bonus scheme to enhance your take-home
• A generous contributory pension of 6%. We’ll match employee contributions between 7% and 10%
• Life assurance paid at x 3 annual salary
• Private medical insurance
• Health care cash plan called Medicash
• Enhanced pay for maternity, paternity, adoption and shared parental leave
• Access to counselling, legal and financial information
• Electric car scheme
• Huge variety of in-house & e-learning courses and a range of coaching and mentoring programmes

We're looking for a talented Senior Data Engineer to combine hands-on engineering with technical leadership, helping to establish reusable patterns, engineering standards and automated delivery practices. As well as improving platform performance, reliability and cost efficiency while supporting the development of other engineers.

In this role you’ll play a key role in shaping and evolving a modern Azure data platform. Working with technologies including Azure Databricks, Azure Data Factory, Azure Synapse, Delta Lake, SQL, Python and PySpark, you'll design, build and optimise secure, scalable data pipelines and trusted data products that support reporting, self-service analytics, advanced analytics and AI initiatives. This is an exciting opportunity to help drive best practice, and contribute to data-driven decision making across VIVID.

As a senior member of the team, you'll collaborate closely with colleagues across the business to deliver robust, production-ready solutions. You'll lead on engineering standards, CI/CD practices, automated testing and platform optimisation while mentoring other engineers and supporting the continued development of a high-performing data function. Your work will directly contribute to delivering excellent services for our customers and ensuring data is managed securely, efficiently and responsibly.

Please refer to the Person Specification within the Job Description for a full breakdown of the skills, experience and qualifications required for this role.

Interviews are due to take place 14 September (subject to change).