326 to 350 of 439 Lakehouse Jobs in England

Build the UK's best Data & AI Solution Sales business by leading and developing this growth CoE (consisting of modern data platform and lakehouse, data engineering and integration, data governance, quality and lifecycle management, analytics and business intelligence, and applied AI and agentic solutions that provide the foundations … brand and engaging with multiple internal business units Core technical breadth across the Data & AI domain sufficient to lead credibly: modern data platform and lakehouse architectures (Microsoft Fabric, Azure, Databricks), data engineering and integration, data governance, cataloguing, lineage and quality (Microsoft Purview), analytics and BI (Power BI), and applied ...

Build the UK's best Data & AI Solution Sales business by leading and developing this growth CoE (consisting of modern data platform and lakehouse, data engineering and integration, data governance, quality and lifecycle management, analytics and business intelligence, and applied AI and agentic solutions that provide the foundations … brand and engaging with multiple internal business units Core technical breadth across the Data & AI domain sufficient to lead credibly: modern data platform and lakehouse architectures (Microsoft Fabric, Azure, Databricks), data engineering and integration, data governance, cataloguing, lineage and quality (Microsoft Purview), analytics and BI (Power BI), and applied ...

About the role: The role calls for a self-motivated and result driven Data & Analytics Engineer to join JCB during an exciting time, as we embark on a transformational journey with our global data capabilities. ...

Salary: Grade 9 (£47,665-£50,908) - The salary will be pro rata from the FTE 37 hours to 30 hours a week Closing Date: 5pm, 16 October 2026 *We are open to discuss working ...

About the Role In an era defined by data-driven transformation and applied AI, global enterprises require partners who can do more than maintain legacy infrastructure—they need visionary engineering leaders to design, scale, and ...

agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits ...

democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs ...

democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits We strive to provide comprehensive benefits and perks that meet the needs of all our employees. ...

agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits ...

agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits ...

must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g. … agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits ...

live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning … agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks ...

Microsoft Fabric Architect (Project) Location: London Rate: £650 per day IR35 status: Inside Contract: 16 weeks Working pattern: Hybrid - office attendance every Friday, plus additional days when required Hours: 37 hours per week Target start ...

USS Investment Management Limited is looking for a Senior Investment Data Analyst in London. This role involves establishing data analysis capabilities and contributing to technology and data transformation to enhance data handling across investment operations. ...

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the ...

reusable data products that power dashboards, APIs, self-service analytics, machine learning and future generative AI services. Youll work with modern AWS managed services, lakehouse architecture, Data Mesh principles and governance-by-design patterns to create data that is reliable, discoverable, secure and ready for real customer impact. … Your first focus will be working on a greenfield AWS Analytics and AI platform Establishing reusable engineering patterns for future products. Build AWS lakehouse pipelines using services such as S3, Glue, Athena, Lake Formation, DMS and Step Functions Transform operational data into governed, reusable products for dashboards, APIs ...

engagement for a telecommunications client, covering Customer, Finance and Network domains.The role will assess the current data landscape, including an existing GCP BigQuery Data Lakehouse, and help define the target architecture, technology roadmap and governance framework. Key Responsibilities Lead/support stakeholder interviews and workshops across business and technical … systems, integrations and data flows. Catalogue databases and data sources, identifying silos, duplication and data quality issues. Assess the existing GCP/BigQuery Data Lakehouse, architecture, scalability and integration patterns. Evaluate data governance, ownership, metadata, lineage, MDM, security and compliance. Develop current-state assessments, architecture diagrams, data inventories ...

Architect (Databricks), Financial Services Contract: 1 month (extension likely) IR35: Outside Location: Remote The role Our financial services client is building out its Databricks Lakehouse platform and needs a hands-on Data Architect to define the target architecture and set the standards the delivery team builds to. Responsibilities Design … Databricks architecture, from ingestion through to consumption Define batch and streaming patterns using Delta Lake, Delta Live Tables and Workflows Lead data modelling and lakehouse design Implement governance through Unity Catalog, including access control, lineage and audit Set standards for data quality, performance and cost Review engineering designs ...

Architect (Databricks), Financial Services Contract: 1 month (extension likely) | IR35: Outside | Location: Remote The role Our financial services client is building out its Databricks Lakehouse platform and needs a hands-on Data Architect to define the target architecture and set the standards the delivery team builds to. Responsibilities Design … Databricks architecture, from ingestion through to consumption Define batch and streaming patterns using Delta Lake, Delta Live Tables and Workflows Lead data modelling and lakehouse design Implement governance through Unity Catalog, including access control, lineage and audit Set standards for data quality, performance and cost Review engineering designs ...

specs carefully before applying. Contract: 1 month (extension likely) | IR35: Outside | Location: Remote The role Our financial services client is building out its Databricks Lakehouse platform and needs a hands-on Data Architect to define the target architecture and set the standards the delivery team builds to. Responsibilities Design … Databricks architecture, from ingestion through to consumption Define batch and streaming patterns using Delta Lake, Delta Live Tables and Workflows Lead data modelling and lakehouse design Implement governance through Unity Catalog, including access control, lineage and audit Set standards for data quality, performance and cost Review engineering designs ...

Python. Develop and maintain robust ELT processes to ingest, transform and integrate data from multiple sources. Contribute to the design and evolution of Lakehouse architecture and modern data platforms. Develop and maintain data models that support analytics, reporting and downstream applications. Build data quality, validation and monitoring processes … hands-on experience with Databricks . Proven experience designing, implementing and optimising data pipelines. Strong knowledge of Apache Spark and Python . Understanding of Lakehouse architecture and modern data engineering principles. At least five years experience across ELT, data engineering and data modelling. Experience working with Microsoft Azure ...

building repeatable and resilient data processing pipelines for these use cases. What You'll Do Own the reliability and performance of our data lakehouse as it scales, taking the lead on the operational problems that don't have an obvious answer Build the infrastructure and business logic behind … make them good enough that teams choose them Lead the data side of modernising our legacy monolithic SQL Server database: extracting into the lakehouse and parallel data stores, introducing retention policies, and migrating to modern SQL frameworks Write and optimise ETL processes and contribute to data modelling for both ...

live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning … agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits ...

risk are contested Architecture ownership Set and own the target data architecture: ingestion, storage, transformation, serving, governance Make and document the significant decisions (lakehouse vs warehouse, batch vs streaming, build vs buy) with the trade-offs written down Define non-functional requirements, cost models and FinOps guardrails alongside … other client-facing setting comfortable being accountable to a paying client, not only an internal stakeholder Data modelling depth across dimensional, Data Vault and lakehouse/medallion approaches, with a view on when each is most appropriate Data governance in practice: catalogue, lineage, access control, quality, and Regulatory obligations ...

risk are contested Architecture ownership Set and own the target data architecture: ingestion, storage, transformation, serving, governance Make and document the significant decisions (lakehouse vs warehouse, batch vs streaming, build vs buy) with the trade-offs written down Define non-functional requirements, cost models and FinOps guardrails alongside … other client-facing setting — comfortable being accountable to a paying client, not only an internal stakeholder Data modelling depth across dimensional, Data Vault and lakehouse/medallion approaches, with a view on when each is most appropriate Data governance in practice: catalogue, lineage, access control, quality, and Regulatory obligations ...