Data Engineer

The Data Engineer will work as part of a small but wide-ranging Data team, building and supporting RDT’s data offerings and collaborating closely with the wider Software Engineering, Platform Engineering, QA and Release teams. The Data team at RDT works across the data estate from development environments through to customer deployments and data/analytics products.
RDT places a strong focus on elements such as Continuous Integration/Delivery, build and deployment automation in the delivery of innovative, consistent and efficient solutions for our products and teams. We work with a range of exciting clients who demand top quality software solutions. We offer the opportunity to work with cutting edge technology and innovative technical experts.

• Deliver enhancements and new features across RDT’s data estate within a continuous delivery model, with a focus on the Microsoft/Azure data stack
• Push the data offerings forward via exploratory and proof-of-concept data work through to production
• Drive innovation and excellence via identification and implementation of continuous improvement opportunities
• Support managed service environments, providing expertise to deployment and release, customer and internal requests and incidents, monitoring and alerting
• Shape and evolve RDT’s managed service offering with tooling and feature enhancements, migration and platform refresh projects
• Participate in solution design and development for data and database components, taking full ownership of assigned project and ad-hoc work
• Provide SME input to developer teams for data-specific components and requirements including solution shaping and code review

• Certified in a relevant discipline or qualified by experience, such as Microsoft Certified Azure Database Administrator Associate, Fabric Data Engineer Associate, Azure Data Engineer Associate, MCSA/MCSE SQL Server.
• Strong SQL Server (2016+) or Azure SQL development and design including T-SQL scripting, complex stored procedures, relational database design, indexing
• Knowledge of Azure/cloud data technologies like Data Factory, Data Lake, Synapse, Microsoft Fabric
• ETL/ELT design and development
• Power BI modelling and development, awareness/experience of shaping and consuming data for analytical purposes
• Awareness of CI/CD via pipelines, Infrastructure-as-Code principles
• Database performance tuning, query optimisation
• Knowledge of Python, PySpark
• Experience of working in an Agile environment
• Experience working with live production systems
• Understanding / experience of the insurance industry
• Experience with AI-assisted database development

• Strong analytical and troubleshooting skills and a pragmatic approach to problem-solving with a curious outlook and keen attention to detail
• Excellent verbal and written communication skills, with the ability to effectively convey technical information
• Enthusiasm for learning new technologies and staying current with industry advancements, proactive in identifying potential for improvements

• 25 days holiday plus Public Holidays
• Company pension
• Private health cover
• Free parking at the office
• Electric car salary sacrifice scheme
• Company social events

You will work with a strong team delivering high quality software products in a fast-paced environment.  You will be working with sharp and innovative people who are dedicated, driven and more than happy to share their knowledge with you.  You will be expected to be the best you can be and will be encouraged and supported to achieve this. We've been building technology for the UK insurance industry for more than 30 years, with a history of challenging established ways of doing things and introducing new technology into the market. If you are passionate about data and eager to work for a forward thinking InsureTech specialist with big plans in this space, we would love to hear from you. Please send your CV by clicking the APPLY button.
We look forward to receiving your application and exploring the possibility of you joining our talented team at RDT.