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About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our Data, AI, Solutions & Engineering practice are looking for an experienced Data Engineer at Senior Manager level to join the team. Our Data, AI, Solutions and Engineering (DAISE) practice consists of over 100 UK and nearshore data professionals, with deep expertise across data strategy, data science, governance & engineering. We focus on delivering value-adding, sustainable data and AI capabilities aligned to our clients’ needs. Our team won Data Consultancy of the Year at the British Data Awards 2025, and we're partners with Microsoft and AWS. What you will be doing • Defining and implementing on premise or cloud architectures, (e.g. a cloud data warehouse, data lake or data platform) to enable digital transformation • Working with clients on data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models • Performing maturity assessments across clients’ data capabilities and recommending

Senior Manager, Data Engineering

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