351 to 375 of 501 Lakehouse Jobs in the UK

building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well‐governed and high‐performing data use across the firm. At Goldman Sachs, engineering teams shape scalable … data models, pipelines and platform capabilities that underpin analytics, operational decision‐making and emerging AI use cases. Role Summary As a Data Engineer, Lakehouse and AI Data Platform , you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will ...

# Data Lakehouse Engineer at N Consulting LtdJob Title: Data Lakehouse Engineer Work Type: Hybrid | Contract Locations: Basildon(UK) or Nenagh/Dublin (Ireland) or Warsaw (Poland)Role OverviewWe are seeking a highly skilled Data Lakehouse Engineer to join our team on a hybrid contract basis. This … role focuses on designing, building, and optimizing modern data lakehouse architectures using AWS-native services and open table formats like Apache Iceberg. You will play a key role in enabling scalable, secure, and high-performance data platforms.Key Responsibilities Design and implement scalable AWS Data Lakehouse solutions Develop ...

govern, and activate customer data while maintaining full ownership and control. By running directly on top of the customer's cloud data warehouse or lakehouse, RudderStack reduces data movement, improves governance, lowers infrastructure costs, and accelerates modern data and AI initiatives. Leading companies including Lovable, Jaguar Land Rover ...

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 ...

when something spans multiple systems. You have deep expertise in backend services and/or data-intensive systems (e.g. event pipelines, data warehouse/lakehouse platforms, or SDK development), and you're able to apply that expertise across more than one area. You think in terms of return ...

seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions. Key Responsibilities Design and architect Databricks Lakehouse … data, or solution architecture. Strong hands-onexperience with Databricks Platform . Expert knowledge of: Apache Spark PySpark/Scala Delta Lake SQL Data Lakehouse architecture ETL/ELT development Experience designing anddelivering enterprise Databrickssolutions. Strong experience withcloud platforms: Azure Databricks (preferred) AWS Databricks Google Cloud Databricks Experience with: Databricks ...

BI Developer Application Deadline: 23 October 2026 Department: IT and Business Systems Employment Type: Permanent - Full Time Location: Silverstone Description We are looking for a talented BI Developer to help drive our data and analytics ...

London is seeking a Senior Engineering Manager for Data Platform to own the engineering strategy and delivery for the company’s data foundation, lakehouse, and pipelines. This leadership role partners with Analytics, ML, Data Science, and Product teams to drive scalable, reliable data assets. You will coach senior engineers ...

drive pipeline growth and lead enterprise transformations across data platforms. You will bridge C-suite stakeholders with delivery teams, craft end-to-end lakehouse architectures, and shape commercial offerings for large-scale engagements. You will champion Generative AI, Agentic workflows, and cost optimization while collaborating with hyperscalers and cloud ...

drive pipeline growth and lead enterprise transformations across data platforms. You will bridge C-suite stakeholders with delivery teams, craft end-to-end lakehouse architectures, and shape commercial offerings for large-scale engagements. You will champion Generative AI, Agentic workflows, and cost optimization while collaborating with hyperscalers and cloud ...

drive pipeline growth and lead enterprise transformations across data platforms. You will bridge C-suite stakeholders with delivery teams, craft end-to-end lakehouse architectures, and shape commercial offerings for large-scale engagements. You will champion Generative AI, Agentic workflows, and cost optimization while collaborating with hyperscalers and cloud ...

transformation, validation, reconciliation, and cutover activities. Perform data profiling, root cause analysis, and data quality assessments. Develop and optimise data warehouse, data lake, and lakehouse solutions. Produce source-to-target mappings, transformation rules, and technical documentation. Support data governance, security, and compliance requirements. Work collaboratively with stakeholders to understand … Step Functions Amazon QuickSight Strong practical experience with: Microsoft Fabric Strong knowledge of: ETL and ELT design patterns Data Warehousing Data Lake and Lakehouse architectures Data Profiling Data Quality Management Data Validation and Reconciliation Additional Information Other Information Candidates must be able to demonstrate a pre-existing right ...

transformation, validation, reconciliation, and cutover activities. Perform data profiling, root cause analysis, and data quality assessments. Develop and optimise data warehouse, data lake, and lakehouse solutions. Produce source-to-target mappings, transformation rules, and technical documentation. Support data governance, security, and compliance requirements. Work collaboratively with stakeholders to understand … Step Functions Amazon QuickSight Strong practical experience with: Microsoft Fabric Strong knowledge of: ETL and ELT design patterns Data Warehousing Data Lake and Lakehouse architectures Data Profiling Data Quality Management Data Validation and Reconciliation Additional Information We pride ourselves in offering an excellent benefits package, including an aboveaverage pension ...

transformation, validation, reconciliation, and cutover activities. Perform data profiling, root cause analysis, and data quality assessments. Develop and optimise data warehouse, data lake, and lakehouse solutions. Produce source-to-target mappings, transformation rules, and technical documentation. Support data governance, security, and compliance requirements. Work collaboratively with stakeholders to understand … Step Functions Amazon QuickSight Strong practical experience with: Microsoft Fabric Strong knowledge of: ETL and ELT design patterns Data Warehousing Data Lake and Lakehouse architectures Data Profiling Data Quality Management Data Validation and Reconciliation Additional Information We pride ourselves in offering an excellent benefits package, including an aboveaverage pension ...

cost efficiency. Design, build and operationalise scalable ETL/ELT data pipelines using Databricks, Python and SQL. Develop and optimise solutions using Databricks Lakehouse and Delta Lake. Implement data governance, lineage, controls and audit frameworks within a regulated environment. Lead, mentor and upskill a team of Data Engineers, establishing … Databricks implementations within financial services. Strong experience within Insurance, Banking, Asset Management or FinTech. Advanced Python, PySpark and SQL skills. Deep knowledge of Databricks Lakehouse architecture and Delta Lake. Experience with at least one major cloud platform: AWS, Azure or GCP. Proven experience leading or mentoring Data Engineering teams. ...

mapping, reconciliation, dependencies, coexistence and phased cutover - Work with platform and solution architects to translate domain and logical models into implementable cloud schemas, pipelines, lakehouse, warehouse and integration patterns - Lead small teams or workstreams, communicate trade-offs to client stakeholders and mentor architects, analysts or engineers Essential skills - Proven … mapping, reconciliation, quality controls, coexistence and cutover planning - Understanding of how domain and logical models translate into physical cloud implementations, including schemas, pipelines, integration, lakehouse and warehouse patterns - Ability to work across business and technology teams and explain modelling, governance and implementation trade-offs to technical and non-technical ...

mapping, reconciliation, dependencies, coexistence and phased cutover - Work with platform and solution architects to translate domain and logical models into implementable cloud schemas, pipelines, lakehouse, warehouse and integration patterns - Lead small teams or workstreams, communicate trade-offs to client stakeholders and mentor architects, analysts or engineers Essential skills - Proven … mapping, reconciliation, quality controls, coexistence and cutover planning - Understanding of how domain and logical models translate into physical cloud implementations, including schemas, pipelines, integration, lakehouse and warehouse patterns - Ability to work across business and technology teams and explain modelling, governance and implementation trade-offs to technical and non-technical ...

mapping, reconciliation, dependencies, coexistence and phased cutover - Work with platform and solution architects to translate domain and logical models into implementable cloud schemas, pipelines, lakehouse, warehouse and integration patterns - Lead small teams or workstreams, communicate trade-offs to client stakeholders and mentor architects, analysts or engineers Essential skills - Proven … mapping, reconciliation, quality controls, coexistence and cutover planning - Understanding of how domain and logical models translate into physical cloud implementations, including schemas, pipelines, integration, lakehouse and warehouse patterns - Ability to work across business and technology teams and explain modelling, governance and implementation trade-offs to technical and non-technical ...

mapping, reconciliation, dependencies, coexistence and phased cutover - Work with platform and solution architects to translate domain and logical models into implementable cloud schemas, pipelines, lakehouse, warehouse and integration patterns - Lead small teams or workstreams, communicate trade-offs to client stakeholders and mentor architects, analysts or engineers Essential skills - Proven … mapping, reconciliation, quality controls, coexistence and cutover planning - Understanding of how domain and logical models translate into physical cloud implementations, including schemas, pipelines, integration, lakehouse and warehouse patterns - Ability to work across business and technology teams and explain modelling, governance and implementation trade-offs to technical and non-technical ...

Platform. Mastery of migration migrations scope & progression taking customers from EDW to the full capabilities of the Data Intelligence Platform. Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL Excellent communication skills; both written and verbal Public Cloud Architecting: Hands-on experience … 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 ...

solutions. Support the migration of data from legacy platforms (such as Oracle and Teradata) into the new cloud-based Unified Data Platform using modern Lakehouse and Data Vault approaches. Implement data governance standards, including metadata management, lineage and data quality rules, to ensure "Gold Standard" datasets. Provide architectural consultancy … modelling concepts. Exposure to Data Vault 2.0 and an interest in learning Data Vault methodologies would be advantageous. Good understanding of modern data platforms, Lakehouse architecture, cloud technologies and data warehousing concepts. Expertise working with enterprise data platforms and integrating data from multiple source systems. Experience supporting data platform ...

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 ...

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 ...