Business Intelligence Engineer

This range is provided by Digital Waffle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Digital Waffle. Building Business Intelligence & Data Engineering Teams for Clients in the UK Location: Manchester (Hybrid) *Please note, the client doesn’t offer any sponsorship, and will only consider applicants who have the full right to work within the UK. Do you want to be part of a new exciting project and lead a small Data Engineering team of 8 that\’s planning to grow through to the organisation\’s next phase of growth? If so, please carry on reading. A worldwide innovative and exciting organisation is on the lookout for a Senior Data Engineer/Lead to join their Data team. This opportunity offers lots of progression and the opportunity to learn and work with the best and newest technologies, and they already have plans to start working with Microsoft Fabric and Machine Learning. What you’ll do: Support Data Strategy and Architecture: Enable and execute the organization’s Data Strategy, focusing on the development and implementation of robust Data Architecture solutions. Drive Data Platform Solutions: Design and support data platform architecture; evaluate, assess, and estimate new projects and requests. Coordinate Data Engineering Efforts: Lead and support data engineers in addressing challenges related to data ingestion, transformation, and modeling. Streamline Enterprise Data Tools: Collaborate with the Data Governance Board, Digital Council, and IT teams to consolidate enterprise data tools, aligning them to a unified Data Architecture. Collaborate with BI and Data Science Teams: Work closely with business intelligence analysts and data scientists to build and deliver innovative insights and analytics solutions. Enhance Data Literacy: Partner with internal stakeholders and data experts to share best practices and analytics expertise, fostering improved data literacy across the organization. What we’re looking for: Minimum of 5 years’ experience as a data engineer or a related role. At least 5 years’ experience across key areas such as: Data warehousing, Data Fabric, and Data Virtualization. ETL processes. Business intelligence and advanced analytics. Big data and machine learning (Both desirable, and not essential). Minimum of 2 years’ experience in managing or leading teams. Technical Skills and Expertise: Advanced knowledge of Cloud Services (preferably Azure) for data engineering, storage, and analytics. Solid expertise in solution architecture and data modeling. Proficiency in programming languages like PySpark or Python. Strong experience with SQL and NoSQL databases. Deep understanding of data warehousing, virtualization, and analytics concepts. Applying: If you feel you have the required skills for this opportunity and would like to be considered, please forward an up-to-date version of your CV, and someone will be in contact with you within 24 hours. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Staffing and Recruiting #J-18808-Ljbffr