226 to 250 of 437 Lakehouse Jobs in England

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 ...

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 ...

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 ...

regarding data platform trade-offs, including performance, cost, scalability, and operational excellence. Technical understanding of modern data platform architectures, including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks. Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake. Strong knowledge ...

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 ...

architectures spanning data pipelines, feature engineering, model training, deployment, inference, monitoring, and telemetry.* Establishing engineering standards and operational excellence.* Implementing feature stores, Lakehouse architectures, and enterprise data quality frameworks.* Coaching engineers, reviewing designs, and driving technical direction.MLOps, Deployment & Operations* Deep hands-on experience with SageMaker Pipelines, Training, Processing, Model ...

given Rowden’s defence and national security context. Eligibility for SC clearance. Desirable (not essential) Exposure to data platform patterns such as medallion or lakehouse architectures. Hands-on experience with MLOps tooling or model-serving infrastructure used to operationalise and scale ML systems. Any experience contributing to technical documentation ...

similar - and an understanding of how AI capabilities are embedded within existing business systems and workflows. Exposure to data platform architecture (Snowflake, medallion/lakehouse patterns, semantic layers) and how governed enterprise data enables AI at scale. Track record of leading enterprise transformation through influence - driving adoption, managing change ...

Experience designing and maintaining high-quality visualisation reports, dashboards and applications. Experience of ETL processes using Alteryx, PowerQuery (M) or Fabric tools (e.g. Dataflows, Lakehouse, pipelines) to create reliable datasets for reporting. Experience developing and managing robust semantic models (dimensional/star schema) to underpin scalable and reusable reporting ...

supported sales in the bid process, for example by contributing to proposals, estimates or client presentations Nice to have Data platform experience, such as lakehouse design and migration on Databricks, Fabric or Snowflake, or an open table format stack like Delta or Iceberg Production applied AI experience, such ...

pipelines and automation for ML lifecycle managementLead technical implementation of pilot models on the Global AI PlatformDevelop reusable migration accelerators and standardsYour Skills:Databricks Lakehouse PlatformDatabricks ML MLflow Unity Catalog Workflows and Model Serving CICD and MLOps automationPython and production ML deployment patternsWe are a Disability Confident Employer:Capgemini ...