26 to 50 of 437 Lakehouse Jobs in England

native data warehousing Fivetran – Automated data pipelines for seamless integration What You’ll Bring Data Architecture – Proven experience designing and building data warehouse/lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks Data Modeling – Strong expertise in data modeling and solution architecture, optimizing for performance and scalability ...

excellent opportunity. Key Responsibilities Design, build and maintain Power BI reports and dashboards aligned to business requirements. Develop and maintain data warehouse/lakehouse assets and ETL/ELT pipelines. Work with stakeholders to gather requirements, define KPIs and translate business needs into technical specifications. Develop semantic models ...

Unity Catalog. Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation). Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions. Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java). Familiarity with BI, data ...

understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi Experience working with lakehouse/medallion architectures in Databricks Experience with experimentation support tooling (such as Optimizely) A genuine curiosity about AI and a willingness to explore ...

deployment and delivery. Key Responsibilities Develop solutions using Azure Databricks and/or Fabric Implement Medallion Architecture (Bronze, Silver, Gold) Develop data warehouse and lakehouse solutions Support BI, analytics, and AI workloads Optimise performance, cost, and reliability Collaborate with technical and functional stakeholders Mandatory Requirements Proven ability to make ...

foundations for a secure, scalable data environment. Key responsibilities Develop and maintain batch and streaming pipelines across multiple data sources. Build the warehouse or lakehouse architecture and data models supporting reporting and analytics. Establish checks and processes for data accuracy, traceability and governance. Deliver reliable datasets for financial ...

performance issues Support the ongoing enhancement and modernisation of enterprise data platforms Databricks & Data Platform Engineering Develop and support Databricks-based data solutions and Lakehouse architectures Utilise Delta Lake and Spark technologies to deliver scalable data processing capabilities Optimise distributed data processing workloads for performance and reliability Implement data ...

comfortable working collaboratively with both technical specialists and data quality practitioners. You’ll bring: Strong practical experience of Microsoft Fabric, including data engineering workloads, Lakehouse or Warehouse structures, notebooks, pipelines and medallion architecture. Strong practical experience of SQL and at least one relevant programming language, such as Python, Postgres ...

Must-Have Skills & Experience Expert-level experience with Databricks, PySpark, SQL, and Apache Spark Strong experience designing and delivering cloud-based data platforms and lakehouse architectures Hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and performance tuning Experience building batch and streaming data pipelines Strong knowledge ...

Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift ...

governance and self-service BI into practice, including ownership, quality standards, training and user adoption Microsoft Fabric experience, or transferable Azure Synapse or Databricks Lakehouse experience, including an understanding of medallion architecture Strong Power BI semantic modelling and DAX skills, sufficient to take responsibility for shared datasets and business ...

system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding of data security‐by‐design ...

Snowflake). Architect scalable, enterprise-grade cloud platforms across the full data lifecycle—from platform setup and ingestion to orchestration and consumption. Design modern lakehouse solutions, defining Medallion Architectures (Bronze/Silver/Gold), cross-domain data modeling, and governance standards. Define data architectures supporting Enterprise AI, Generative ...

Snowflake). Architect scalable, enterprise-grade cloud platforms across the full data lifecycle—from platform setup and ingestion to orchestration and consumption. Design modern lakehouse solutions, defining Medallion Architectures (Bronze/Silver/Gold), cross-domain data modeling, and governance standards. Define data architectures supporting Enterprise AI, Generative ...

verbal communication skills, including the ability to explain findings clearly to non-technical audiences. Nice to haves: Experience with Microsoft Fabric components such as Lakehouse, Warehouse, Dataflows Gen2, Pipelines, notebooks or medallion architecture. Experience with Dataverse, Power Platform, Power Automate, Power Apps, Azure-based data services or other modern ...

expertise across every area listed below. We're primarily looking for strong Data & AI architecture experience across the Microsoft ecosystem. Data & Analytics Microsoft Fabric Lakehouse architecture patterns Power BI and self-service analytics Semantic modelling and reporting solutions Data platform modernisation and analytics strategy AI & Automation Agentic AI patterns ...

Python, PySpark, Microsoft Fabric, Databricks, Synapse, Delta/Parquet, Power BI, Agentic AI, Infrastructure as code, IaC, CI/CD, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer) Our client is a fast-growing, mission-driven global giant in the energy sector and they ...

initiatives, business intelligence and client-focused innovation.Key responsibilities include: Building reliable data pipelines and reusable data assets using Microsoft Fabric and Databricks. Designing scalable lakehouse data models and governed datasets. Conducting exploratory data analysis and developing machine learning models. Applying NLP, entity resolution and information extraction techniques to document ...

complex queries, data analysis, transformation, validation and reconciliation. Hands-on experience with : Azure Data Factory (ADF) Python Azure SQL DBs Azure Data Lake and Lakehouse architectures ETL and ELT pipeline development Azure DevOps, Git and CI/CD practices Microsoft Fabric (Good to have) Strong understanding of : Data modelling ...

delivery of data platform programmes, including architecture governance and stakeholder management. Strong expertise in modern data architecture concepts: data lakes, data warehouses, lakehouse, data mesh, data governance, security, and quality. Hands-on experience with Azure and/or AWS native services for data storage, processing, orchestration, analytics ...

Essential Significant hands-on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models that accurately represent ...

architectures for production systems, with evidence that your designs have shipped and run - not remained on paper. Deep expertise in data modelling, warehouse/lakehouse design, and data governance. Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure ...

with accountability for successful delivery, senior stakeholder management and commercial outcomes. Strong hands‐on understanding of Microsoft Fabric, including platform architecture, data engineering, integration, lakehouse and warehouse patterns, governance and security. Deep Power BI expertise, including semantic models, data visualisation, governance, adoption and enterprise reporting approaches. Practical knowledge ...

cross-functional leadership capabilities. Preferred Qualifications Experience with cloud-native security and data services on Azure, AWS, or Google Cloud; enterprise graph platforms; modern lakehouse architectures; and security copilots or agentic AI patterns. Relevant certifications such as CISSP, CISM, GIAC, cloud security, cloud AI/data, or Neo4j Graph ...

technologies and architectural approaches including, butnotlimited to: Cloud platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise ...