51 to 75 of 185 Lakehouse Jobs in the UK excluding London

someone who wants to move away from development into pure management. You'll work across: Python/PySpark Microsoft Fabric Spark and notebook engineering Lakehouse/Medallion architecture Delta SQL Azure Git/CI/CD Automated testing Data quality and observability Reusable engineering patterns They're particularly interested ...

Python, PySpark and notebook-based development. What you’ll be working with The environment includes: Python/PySpark Microsoft Fabric Spark and notebook development Lakehouse architecture Medallion/Bronze, Silver & Gold patterns Delta tables SQL Azure Git/source control CI/CD Testing, monitoring and data quality Experience ...

including data modelling, DAX, and dashboard design. Capability in SQL for data transformation, optimisation, and reporting solutions. Experience using Microsoft Fabric, including pipelines, lakehouse, and warehouse functionality. Confidence communicating insight to a range of audiences through clear data storytelling and analysis. Knowledge of data governance, data quality management ...

someone strong on one will pick up another quickly Have deep SQL skills and hands‐on experience with data modelling (e.g. Kimball, medallion/lakehouse patterns, or domain-driven modelling) - this is the load‐bearing, provider‐agnostic skill underneath almost all of our pipeline work Have strong proficiency ...

identifying issues and improving quality. Nice to have Python experience, particularly for test automation, test data creation, or data validation activities. Experience working within Lakehouse architectures and modern data platforms. Some of our benefits Flexible, hybrid working model Inclusive culture and environment, check out our Glassdoor reviews £1000 flexible ...

AI. Modernisation is at the heart of the role: helping customers move away from legacy data warehouses, databases and fragmented data estates towards modern lakehouse, warehouse and federated designs on platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. In a pre-sales capacity, there is a demand … define migration approaches and phased roadmaps, and identify risks, dependencies and quick wins. Data Architecture & Modelling - Design end-to-end data platform architectures, including lakehouse, warehouse, federated and data-product approaches. Apply appropriate modelling patterns such as medallion, dimensional and domain-oriented designs. Data Integration & Engineering - Design ingestion ...

maintain test strategies, test plans, test cases, and test data sets aligned to each platforms delivery cadence and risk profile. Test data warehouse, lakehouse, and reporting outputs built on Azure Synapse, Microsoft Fabric, Tableau, and Power BI verifying data accuracy, performance, and visualisation correctness. Test integrations and middleware flows ...

Proven experience building data platforms on Azure. You know Databricks inside out – not just how to write a notebook, but how to architect a Lakehouse, manage clusters, and optimise costs. Data Modelling Proficiency: You understand that data engineering is more than moving JSON blobs. You have strong opinions ...

closely related discipline, with enough hands‐on credibility to review a design and challenge an approach. Practical experience with a public cloud lakehouse or modern data platform; Databricks and Spark experience is an advantage. Solid grounding in relational databases at scale, ideally including Oracle and/or PostgreSQL. Real ...

responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that ...

data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking for. Demonstrated fluency with AI automation tooling ...

track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities* Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

designing and delivering enterprise data platforms in a commercial setting. Modern cloud data platforms and ELT patterns, with sufficient depth in warehouse, lake and lakehouse architectures to review and challenge platform designs and critically evaluate supplier proposals, with a particular focus on the Microsoft Azure stack. Data contract design ...

Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls … Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch and real-time data processing, and cloud-native data platforms Strong understanding of data governance, security, architecture best practices and platform engineering ...

transformation pipelines, integrating data from internal systems and third-party platforms including Salesforce, Sopra Banking Services, CACI and Experian. Engineer Modern Data Architectures - Design Lakehouse, Warehouse and Delta Lake solutions using medallion architectures to support enterprise analytics and reporting. Deliver Analytics-Ready Data Assets - Build trusted, well-modelled datasets … create meaningful value for members and colleagues. About You Microsoft Fabric Expertise - You have strong hands‐on experience with Microsoft Fabric technologies including OneLake, Lakehouse, Warehouse, Data Factory, Spark and Power BI. Strong Engineering Skills - You're proficient in SQL, Python and PySpark, with experience developing scalable and maintainable ...

Business Intelligence Developer and Data Engineer Cheshire TBC, Permanent/Full Time Business Intelligence Developer and Data Engineer Location: Hybrid (Runcorn) with travel across the North West and Yorkshire Job type: Full-time, permanent Are ...

/SQL Data Warehousing ETL/ELT Processes Queries, stored procedures, scripts and database objects Data Reporting Microsoft Fabric Azure Data Factory Dataflows Data Lakehouse or Warehouse solutions Python Source Control (Git) Technical Leadership & Team Management You will be a Lead SQL Developer with good communication skills and have ...

related data context.* SAS and Informatica experience* Scala* Experience of working in an Agile Team* An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse)* Experience of QA, testing automation, testing and testing standards.Full time - 35 Hours## About usIf you are thinking about making an application but want ...

technical credibility in relevant data engineering technologies such as SQL, Python, orchestration tools, cloud data platforms, APIs, file‐based integrations or data warehouse/lakehouse platforms What we can offer you We recognise that our people are our most important assets. That’s why we offer a flexible reward ...

/Java or Scala Experience working with large-scale data platforms, data lakes or warehouses A good understanding of modern data concepts like Lakehouse, ingestion and analytics Experience across the full delivery lifecycle, from design to support A mindset focused on quality, simplicity and continuous improvement The ability ...

practices, and escalating, managing and reporting control issues with transparency. Skills & Experience Essential Proven in-depth commercial experience in the following key areas: Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning. Apache Spark & Scala – High-performance distributed data processing and optimisation. Cloud Data Engineering (AWS) – Cloud-native ...

operating in some of the UK's most complex and challenging environments. Using Databricks, Apache Spark and cloud-native technologies, you’ll develop scalable Lakehouse architectures and production-grade data pipelines that enable organisations to trust, share and exploit their data more effectively. You’ll have the opportunity … power of their data. Responsibilities Design, build and optimise scalable data pipelines using Databricks, Apache Spark, PySpark and Delta Lake. Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable data products. Build robust ETL and ELT processes that ingest, transform ...

analytics capabilities. Leverage SAP BTP DataSphere and SAP Analytics Cloud (SAC) to create integrated analytics solutions. Data Integration & Management Implement data integration into Fabric Lakehouse, Warehouse, and Synapse Engineering. Design and build Azure Data Factory pipelines for data ingestion and transformation. Ensure data security and governance at storage … field required. Technical Experience 5 years of progressive IT experience, with a minimum of 2 years of hands‐on experience with Microsoft Fabric (Workspace, Lakehouse, Warehouse, and Data Engineering). Proven expertise architecting solutions with SAP (ECC and S/4HANA), Microsoft Fabric, and Power BI, including a strong ...

improve data engineering, reporting and analytics, and provide senior technical leadership for data engineering delivery. Core responsibilities Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer … ingestion, data profiling, master-data mapping, migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads/SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs ...