Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale. We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain. We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core. Role As a Lead Data Engineer , you will play a key role in designing, building, and scaling modern data platforms for our clients. You will: Assess and understand clients’ data landscapes , including sources, architectures, and data quality Collaborate with business and IT stakeholders to translate requirements into robust data solutions Design, build, and maintain scalable data platforms (pipelines, data lakes, data warehouses) on modern cloud infrastructures Implement data models, schemas, and governance frameworks to support analytics and reporting needs Contribute to technical sales and pre-sales activities, including solution design and estimations Work with large-scale, distributed data systems , troubleshoot issues, and stay current with data engineering best practices
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