1 to 25 of 180 Permanent Lakehouse Jobs in the UK excluding London

concepts clearly to both technical and non-technical audiences Innovation & Emerging Technologies: Apply modern data architecture patterns (Cloud Native, streaming/batch ingestion, Data Lakehouse). Evaluate emerging data engineering and platform technologies to drive continuous improvement and innovation. Technical Expertise Recognised expert in Data Architecture, Data Modelling, Engineering ...

concepts clearly to both technical and non-technical audiences Innovation & Emerging Technologies: Apply modern data architecture patterns (Cloud Native, streaming/batch ingestion, Data Lakehouse). Evaluate emerging data engineering and platform technologies to drive continuous improvement and innovation. Technical Expertise Recognised expert in Data Architecture, Data Modelling, Engineering ...

relational databases Hands-on experience building ETL/ELT pipelines and integrating complex data sources Proven experience with Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, Real-Time Analytics, and data orchestration capabilities Experience designing and implementing cloud-based data platforms using Azure, AWS, or Google Cloud Knowledge ...

Highly Desirable Experience in the utilities, water, or regulated infrastructure sector — understanding of operational data, compliance requirements, and safety-critical system considerations Familiarity with Lakehouse Federation in Azure Databricks — federating queries across external data sources without full ingestion Experience with Azure Data Factory or equivalent ETL/ELT tooling ...

Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics ...

Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics ...

Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics ...

technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership ...

engineers. The role Microsoft Fabric is becoming central to the organisations data environment. Youll work across: Designing and building solutions using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations ...

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 ...

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 ...

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 ...

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 ...

solving skills with the ability to translate business requirements into practical analytical solutions. It would be great if you had: Experience with Microsoft Fabric, Lakehouse architectures or other modern cloud-based analytics platforms. Knowledge of machine learning, artificial intelligence and forecasting techniques and their practical business application. If youre ...