251 to 275 of 499 Lakehouse Jobs in the UK

prototyping and architectural design to delivery, enabling enhanced insights across reporting, analytics and AI. The role requires strong SQL and Python, experience with data lakehouse concepts, Git, and the ability to guide others. You will collaborate with cross-functional teams and contribute to the Data & AI community within #J ...

Databricks Inc. is seeking a Solutions Architect to join their Lakebase team. This role focuses on enhancing product market fit and driving revenue growth while collaborating with account teams on strategic engagements. Candidates should have ...

Portsmouth is seeking a Data Engineer to support the development, maintenance and enhancement of the BI Data Platform, including the enterprise Data Warehouse, Lakehouse and reporting environments. You will design, develop and support data integration processes, pipelines, data models and reporting solutions to enable effective operational and strategic decision ...

seeking an experienced Data Architect to support a Data Strategy Discovery for a telecom client. You will assess the current landscape (GCP BigQuery Data Lakehouse) and shape the target architecture, governance, and technology roadmap. You will lead interviews with business and tech teams, document data flows, assess data quality ...

/ELT development, data migration, data quality and governance, working with stakeholders to deliver scalable data platforms. You will implement data warehouse, lake and lakehouse architectures, and produce mappings and technical docs while ensuring secure and compliant data handling in a fast-paced environment. #J-18808-Ljbffr ...

insight, regulatory reporting, and advanced analytics, collaborating with data architects, analysts and stakeholders. With hybrid working, minimum 2 days on site, you will implement Lakehouse architectures, CI/CD pipelines and secure data workflows to enable self-serve BI and trusted datasets #J-18808-Ljbffr ...

Protiviti seeks a London-based Senior Manager, Data Architecture to lead design and delivery of enterprise cloud data platforms. You will guide Databricks and Lakehouse solutions on Azure and/or AWS, translating complex requirements into scalable, secure architectures while advancing client relationships and practice development. You will shape ...

architecture from vision to delivery, across a hybrid UK environment. You will leverage AWS analytics services to build secure, governed lakehouse and warehouse solutions, integrating with SageMaker and ensuring scalable, auditable data products while collaborating with cross-functional teams to implement CI/CD and governance practices. #J ...

experience and will be responsible for defining scalable architectural solutions and guiding engineering teams. The role focuses on designing data platforms using Databricks Lakehouse architecture and optimizing ETL pipelines. Ideal candidates are expected to evaluate technologies and implement best practices while ensuring data governance. This is a hybrid role ...

drive continuous improvement and effective delivery outcomes. Desirable experience includes: Experience working within cloud-based data and analytics environments, including AWS, Databricks and Lakehouse architectures. Familiarity with Tableau reporting and analytics solutions. Understanding of Data Governance, Data Quality and associated delivery standards. Knowledge of SAP data environments, including ...

support continuous improvement and effective team delivery. Desirable experience includes: Experience working within cloud-based data and analytics environments, including AWS, Databricks or Lakehouse architectures. Familiarity with Tableau reporting and analytics solutions. Understanding of Data Governance, Data Quality and associated delivery standards. Knowledge of SAP data environments, including ...

tooling — VS Code, GitHub Copilot — and the modern developer environment Hands-on with data-quality tooling, metadata platforms, lineage frameworks, and modern data platforms (lakehouse/warehouse patterns, distributed processing, APIs/data services) #J-18808-Ljbffr ...

achievement. The Role: The Data Engineer will support the development, maintenance and enhancement of the Business Intelligence Data Platform, including the enterprise Data Warehouse, Lakehouse and reporting environments. The post holder will design, develop and support data integration processes, pipelines, data models and reporting solutions that enable effective operational ...

detail, capable of interrogating complex data sets, identifying issues, and proposing practical solutions. • Experience working with modern data platforms, ideally exposure to data lakehouse architectures or similar technologies. • Foundational data modelling skills, and experience constructing data flow diagrams, mapping sources, and understanding back-to-front system architecture. • Proven stakeholder ...

undertake for our partners, we are currently looking for: Responsibilities Design, develop, and maintain scalable data solutions across Azure Synapse, Azure Databricks, and Data Lakehouse environments Implement and optimize ETL/ELT processes for ingesting, transforming, and serving data across multiple business domains Develop and maintain data processing solutions … Support knowledge sharing, mentoring, and technical development within the team Collaborate with Data Architects and platform teams to align solutions with enterprise data architecture, Lakehouse principles, and governance requirements Support reporting, analytics, and AI/ML initiatives by providing reliable and scalable data foundations Requirements Strong experience with Apache ...

working mode.In this role, you will lead the design, development and optimization of scalable cloud-native data architectures, focusing on Azure Databricks, PySpark and Lakehouse principles. You will work hands-on to deliver performant data solutions for high-volume workloads, ensuring governance, reliability and best practices for enterprise-grade … scale data platforms using Azure Databricks and modern cloud technologiesImplement and optimize ETL workflows and streaming pipelines with PySpark and Delta Live Tables following Lakehouse principlesEnhance performance, manage cloud costs and ensure platform reliability for structured streaming workloadsDefine data governance, security and quality standards to maintain consistency across ...

profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content … readiness and AI What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI) Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master data ...

profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content … readiness and AI. What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI). Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master ...

profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content … readiness and AI. What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI). Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master ...

profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content … readiness and AI. What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI). Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master ...

Data Operations Lead Location: London, United Kingdom Type: Full time Duration: Temporary, fixed-term assignment for a period of two years Job Requisition ID: R00030845 Why This Role Matters Data powers every decision. Your expertise ...

Hybrid - Newcastle, Edinburgh, Glasgow, Leeds, Manchester, Birmingham, Bristol, London Commitment: Permanent - Employee Ready to build data platforms, not just pipelines? At Opencast, we believe great data engineering is about more than moving and transforming data. ...

Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/ ...

Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with ...

delivery partners, including service performance and support processes. Heavy on Databricks Key Responsibilities: Own and manage the day-to-day operation of the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction. Lead platform service management activities, including incident, problem, change, and request processes ...