2 of 2 Data Engineering Jobs in Warrington

BI Developer - Hybrid Working Salary : £50,000 Are you passionate about data and have a strong technical foundation in Microsoft technologies? We're on the lookout for a BI Developer with expertise in Azure and SQL-based data warehousing solutions to join our team and help design, build, and maintain scalable BI infrastructure. This is a back-end … focused role where your core responsibilities will center around data engineering, warehousing, and BI platform development - supporting and enhancing our enterprise reporting capabilities. Responsibilities: Lead the design, development, and deployment of robust BI and data warehousing solutions. Translate business requirements into clear and scalable technical specifications. Work closely with the wider Data & BI team to develop … best practices across the full data lifecycle. Provide 3rd-line support for critical BI incidents, troubleshooting and resolving system issues. Build and maintain data warehouse infrastructure ensuring performance, reliability, and scalability. Optimize queries, data models, and ETL/ELT processes to reduce processing time and improve performance. Stay updated with emerging trends and technologies in BI and More ❯

Analytics Consultant Location: UK (hybrid - UK-remote with up to 20% client-site travel) Salary: £80,000-£100,000 (DOE) The Company We're partnering with a high-growth data consultancy that helps organisations realise measurable value from data and AI. They design modern data platforms, define pragmatic data & AI strategies, and deliver analytics solutions that … footprint, they're building a senior consulting layer to lead flagship engagements and shape the practice. The Role This is a senior, client-facing role at the intersection of data strategy, AI opportunity, and delivery execution. You'll lead end-to-end strategy engagements, translate business needs into actionable roadmaps, guide multi-disciplinary delivery teams, and mentor consultants-ensuring … solutions land, scale, and drive impact. Key Responsibilities Own end-to-end data & AI strategy engagements: scope, discovery, assessment, roadmap, operating model, adoption. Run senior stakeholder workshops: align priorities, define value metrics, and set success criteria across business and tech. Translate strategy into delivery: shape target architecture and backlog (platforms, pipelines, governance, analytics/ML). Course-correct initiatives More ❯