Data Engineer
Role details
Job location
Tech stack
Job description
Here at Bromford Flagship Livewest, we're looking for a talented Data Engineer to join our team and play a key role in developing and maintaining our data warehouse and data platforms. You'll be responsible for ensuring data is structured, accessible, and trusted-enabling colleagues across the organisation to make better, data-driven decisions. This is an exciting opportunity to work with modern data technologies, contribute to AI and advanced analytics initiatives, and help shape the future of our data estate. Location: Norwich or Tewkesbury Hours: Full time - 37 hpw - with Agile working Contract: Permanent Please note that flexible working will be considered to fulfil the 37 hpw. What You'll Be Doing Designing, developing, and optimising data warehouse solutions Building and maintaining ETL/ELT pipelines to transform raw data into usable insights Developing and managing integrations between systems (including APIs) Ensuring data quality, integrity, and consistency across platforms Implementing monitoring, alerting, and performance optimisation Supporting medallion architecture and modern data lake practices (e.g., Delta Lakes) Contributing to CI/CD pipelines, DevOps practices, and source control (Git) Collaborating with stakeholders to deliver valuable, data-driven outcomes Supporting AI, machine learning, and advanced analytics use cases Driving automation across data pipelines and processes
Requirements
Are you passionate about building scalable, high-quality data solutions that drive real business impact Do you enjoy designing data pipelines, integrating systems, and ensuring data is reliable and accessible? Are you excited by the opportunity to support AI, analytics, and data-driven innovation?, Experience with data warehousing concepts and architectures Strong knowledge of ETL/ELT processes and data transformation Experience integrating systems using APIs or other methods Familiarity with modern data technologies (e.g., Parquet, Delta tables/lakes) Ability to perform exploratory data analysis using tools such as Excel or programming languages Experience with Git, CI/CD, and DevOps practices Strong problem-solving skills and attention to detail A collaborative mindset with the ability to work with technical and non-technical stakeholders
Benefits & conditions
For full details on the role and its responsibilities, you can view the What We Offer Exposure to cutting-edge data technologies and AI-driven initiatives Opportunities to develop skills in advanced analytics and machine learning support A collaborative, Agile working environment Ongoing learning and development opportunities The chance to make a real impact by enabling better decisions through data As well as; Competitive salary 25 days holiday + BH - increasing to 28 days after 5 years service Family Friendly policies Career Development To view the full benefit package on offer, .