Senior Data Engineer

• Build and optimise data pipelines, notebooks, and data flows in Microsoft Fabric and Synapse Analytics, connecting to a variety of on-premises and cloud based data sources
• Support Data Architects and Cloud Engineers by implementing solutions based on provided designs and offering feedback where needed
• Collaborate across disciplines to ensure high-quality delivery of data solutions, including working with presales, managed services, and customer teams
• Mentor Data engineers and support their development through guidance and task distribution
• Ensure best practice adherence in engineering processes, including CI/CD via Azure DevOps and secure data handling (e.g. Key vault, private endpoints)
• Contribute to Agile delivery by participating in standups, user story creation, and sprint planning
• Document implemented solutions clearly and accurately for internal and customer use
• Troubleshoot and resolve issues across subscriptions and environments
• Work closely with the Project Manager (where applicable) to align on delivery timelines, report progress, and manage risks, while also acting as a key point of contact for customer SMEs and engineers to support collaboration and clarify technical requirements
• Engage in continuous learning through certifications (e.g. DP-600 and/or DP700, AI-900, AI102, etc.) and development days
• Contribute to the Data Engineer Guild by sharing knowledge, participating in discussions, and helping shape engineering standards and practices

• Experience in building and optimising pipelines in Azure Data Factory, Synapse, or Fabric
• Strong knowledge of Python and SQL
• Experience in using metadata frameworks in data engineering
• Experience in best practice data engineering principles including CI/CD via Azure DevOps or Github
• Understanding of Azure networking and security in relation to the data platform
• Experience of data governance and regulation, including GDPR, principle of least privilege, classification etc.
• Experience of lakehouse architecture, data warehousing principles, and data modelling
• Familiarity with Microsoft Purview in a data platform context
• Base knowledge of Azure foundry

Familiarity with Power BI and DAX

• 25 days’ holiday, plus you can buy up to 5 more days
• Birthday off
• An extra celebration day
• 5 days’ additional holiday in the year you get married
• 5 volunteer days
• Private health insurance
• Pension contribution match and 4 x life assurance
• Flexible working and work from anywhere for up to 30 days per year (some exceptions)
• Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full pay
• Company social events
• Electric car scheme
• 12 days of personal growth development time
• Work from anywhere
• Private Medical
• Pension Scheme
• Life Assurance
• Volunteer Days
• Electric Vehicle Scheme
• Personal Development Days
• Ride to Work Scheme