7 of 7 Permanent Legacy Systems Jobs in the Thames Valley

programs leveraging Google Cloud Platform (GCP) and modern data engineering frameworks. The role involves defining the data strategy, overseeing migration from legacy systems to cloud-native architectures, and implementing scalable data pipelines and analytics solutions using GCP services and Data Factory. The candidate will manage cross-functional ...

lead cutting-edge projects, mentor talented engineers and shape the future data strategy. You will play a pivotal role in migrating legacy systems to Databricks, designing scalable architectures and embedding best practices across the team. Longer term, you will help integrate AI and advanced analytics into ...

existing Azure Data Platform to Databricks where you will be responsible for the build of the new platform before overseeing the decommissioning of legacy systems. This is a hands-on engineering role where you will also wear multiple hats including managing more junior Data Engineers, setting the standard ...

lead technology and product through a critical phase of scale and modernisation. This role suits a hands-on leader who has successfully modernised legacy platforms, built high-performing teams, and can balance innovation with operational stability in mission-critical environments. You'll lead a team of 50+ engineers … transformation programmes (not just attempted) Strong product mind-set and evidence-based decision making Experience with cloud, modern frameworks, and legacy systems (e.g. AWS, MS SQL, C#, Go, React or similar) Comfortable operating at board level and with enterprise customers Desirable Skills Familiarity with investor-backed ...

Hybrid Integration Design: Lead the design and implementation of data solutions that integrate Azure cloud-native services with legacy SQL Server systems and third-party APIs and data feeds. Data Modelling and Standards: Develop and enforce data modelling standards (conceptual, logical, physical) across platforms. Promote reuse, consistency … decisions. Experience and Skills Required: Experience with Data Architecture and governance, public-cloud platforms (Azure, AWS, GCP) , SQL Server, data integration with third-party systems, ideally Microsoft Fabric Experience with data modelling and metadata management Relevant degree or post-graduate qualification, ideally certification in Cloud Architecture and Data Management ...

work revolves around designing, building and scaling production-grade data platforms in the cloud, not just writing ad hoc pipelines or maintaining legacy systems. If you've spent years turning raw, messy data into something reliable, performant and genuinely useful and you want more influence over how platforms … enterprise-scale databricks platform using modern data engineering tools and frameworks Building ingestion, transformation and validation pipelines across cloud data sources, APIs and operational systems Translating data architecture into executable build plans alongside the Data Architect Optimising data pipelines and processing workloads for performance, reliability and cost Embedding data ...

Technology is at the heart of this fast-growing digital bank — powering the systems that make business banking simpler, faster and smarter. This role is about setting the technical direction across payments, shaping scalable systems, and helping engineering teams deliver consistently high-quality software. What … partnering closely with design teams. What’s in It for You: Work in a modern, agile engineering environment free from legacy systems. Real influence on technical direction, architecture and standards. Supportive, collaborative culture built around ownership and transparency. Opportunity to mentor, innovate and shape how a growing engineering ...