101 to 125 of 185 Lakehouse Jobs in the UK excluding London

rather than operating only at a strategic or management level. The role will work directly in the Microsoft Fabric toolset, covering data ingestion, engineering, lakehouse and warehouse design, analytics and the preparation of trusted data for AI and machine learning use cases. The successful candidate will inherit a direct … platform. What you'll be doing: Designing and building a modern data platform in Azure Fabric, from ingestion through to a governed lakehouse/warehouse and on to analytics and AI enablement Implementing medallion architecture (bronze/silver/gold) as the core data model Setting technical direction ...

environment. Develop scalable batch and real-time data-processing capabilities. Lead the design of a Customer Data Platform. Build and evolve a modern AWS lakehouse architecture. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis through modern AI tools. Automate manual, repetitive … streaming technologies such as Flink or comparable platforms. Production AWS data engineering. AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table formats such as Iceberg. Medallion-style data layering and dimensional modelling. Strong SQL and Python development skills. Infrastructure as code ...

data products, data flows, integration patterns, metadata and data lifecycle management. 2. Data platform and solution design Design scalable cloud data platforms and lakehouse solutions using Microsoft Fabric, OneLake, Azure Data Factory, Azure Databricks, Azure Synapse and related Azure services. Define approaches for batch and real-time data ingestion … Strong data modelling capability across conceptual, logical and physical models, including dimensional modelling, data vault or comparable approaches. Experience designing data integration, data migration, lakehouse or enterprise data platform solutions across multiple systems and data domains. Experience with data governance, metadata, lineage, data quality, master data and reference data ...

TRG Screen in Belfast is seeking a Data Architect to define how our data is structured, connected, and governed across a multi-product SaaS Lakehouse. You will lead data modelling, master data management, and governance ...

SDG Group is a global Consulting firm specialising in Data & Analytics. We are committed to unlocking an organisations’ potential and hidden value by offering in-depth analytics expertise that empowers our clients’ business models to ...

Role Purpose Celon is seeking an experienced and forward-thinking Enterprise Data Architect to help our clients shape and deliver their Data Strategies, strengthen their data and analytics capabilities, and achieve their ambitions to become ...

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 ...

Canopius is seeking an experienced Data Engineer lead in Manchester to drive the next generation of its data estate. You will mentor junior engineers, deliver scalable PySpark pipelines on Databricks, and collaborate with product owners ...

expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data … Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines ...

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 ...

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 ...

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 ...

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 ...

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 ...

audiences. Desirable Experience Experience delivering ERP programmes involving platforms such as SAP, Oracle, Microsoft Dynamics, COINS, IFS, or similar. Experience designing enterprise data platforms, Lakehouse architectures, Data Warehouses, or reporting solutions. Exposure to ERP data migration, testing, deployment, and integration workstreams. Experience leveraging automation, AI, or intelligent workflow technologies ...

paced programme environment with multiple workstreams. Ideal experience Experience supporting ERP migration, integration, reporting, testing and deployment activities. Experience architecting modern data platforms, including Lakehouse or Data Warehouse solutions. Understanding of automation, AI-enabled processes and emerging technologies. Previous experience working with ERP platforms such as COINS or similar ...

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 ...

Hands-on experience with front-end frameworks (e.g., React) Familiarity with modern .NET tooling (e.g., .NET 10, Aspire) and data platforms (e.g., lakehouse, ClickHouse) What We Offer: Private health insurance Group life death benefit Auto-enrollment pension with employer contributions matched to 5% 25 days holiday per year ...

Capital One UK is seeking a Senior Manager Architect - Data to shape the architecture of our cloud-based data ecosystem. You will lead the technical direction for distributed data processing, data storage and data products ...

Data & AI practice. You will design modern data platforms for secure, scalable, and cost-efficient data foundations supporting analytics and AI, including lakehouse and federated architectures on Databricks, Snowflake, Fabric and Starburst. The role requires strong pre-sales capability, customer engagement with data stakeholders, and the ability to translate ...

doing: Technical leadership Defining and owning the data engineering architecture patterns CreateFuture uses across client engagements — migration frameworks, streaming architectures, data integrity standards, and Lakehouse design Acting as the most senior technical authority on client engagements — making critical architecture decisions, resolving design disputes, and setting the bar for quality ...

doing: Technical leadership Defining and owning the data engineering architecture patterns CreateFuture uses across client engagements — migration frameworks, streaming architectures, data integrity standards, and Lakehouse design Acting as the most senior technical authority on client engagements — making critical architecture decisions, resolving design disputes, and setting the bar for quality ...