1 to 25 of 74 Lakehouse Jobs in the UK excluding London

Azure DevOps, CI/CD & Release Management Technical Documentation Technical Azure Databricks, PySpark, Python & SQL Azure Data Factory Azure Functions Azure Data Lake/Lakehouse REST APIs & Third-Party System Integration Azure SQL Logic Apps Azure DevOps, Git & CI/CD Docker/Containers Data Quality, Monitoring & Logging Data ...

platforms. Deep knowledge of the Microsoft data ecosystem, ideally including significant hands-on experience with Microsoft Fabric. Strong understanding of Fabric capabilities such as Lakehouse, Data Warehouse, OneLake, pipelines and notebooks, and how these can be used to build scalable enterprise data solutions. Strong experience with SQL, Python ...

Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline ...

solutions and present insights to stakeholders Promote best practices in data engineering, documentation, and version control Requirements Strong hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, pipelines). Azure Data Factory experience will also be considered if no working experience with fabric Advanced SQL and strong PySpark experience Proficiency ...

data platform, ensuring reliability, performance and scalability * Design enterprise scale data architectures on Databricks and cloud platforms such as Azure, AWS or GCP * Define lakehouse standards, data modelling approaches and governance frameworks * Lead design of batch and streaming platforms using Delta Lake, Spark and related technologies * Establish security, access ...

PySpark desirable). Proven experience designing and building cloud-based data platforms from inception. Hands-on experience with Databricks, Spark, modern data lake/lakehouse architectures, and data integration pipelines. Strong understanding of data security, governance, access controls, and handling sensitive data. Experience implementing CI/CD, Git-based ...

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 ...

ability to get commercial, finance, product, and engineering people into a room and come out with agreed definitions. Key Technologies Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2) Power BI and medallion architecture patterns CDC, streaming ingestion, and entity resolution SQL Server, Azure SQL Database, MySQL, Cosmos DB Azure ...

maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows for reliability and performance * Contribute to lakehouse architecture and medallion pattern implementation * Implement data quality checks, monitoring and observability across pipelines * Apply platform security, access control and governance standards * Support code ...

experience as an Enterprise or Lead Architect in AI Data programmes, preferably within banking or financial services. Strong understanding of data architecture (data lakes, lakehouse, data warehouses, streaming, metadata, governance). Hands‐on experience with AI/ML/GenAI architectures, including model lifecycle management and MLOps. Experience designing ...

tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure to customer data platforms (CDPs ...

Business Intelligence and reporting platforms, including Power BI, Tableau, and Qlik. Validated experience working with modern data platforms and architectures, including Databricks, Snowflake, and Lakehouse solutions. Ability to design and implement scalable data solutions that support reporting, analytics, and business decision-making. Some other highly valued skills may include ...

. Knowledge of data governance, quality controls, and testing practices. Experience working within large-scale enterprise environments. Desirable Knowledge of Iceberg or modern data lakehouse architectures. Experience with traditional ETL tools such as Informatica, ODI, Talend, or SSIS. Exposure to AI-enabled data engineering practices. ...

developing data models to deliver management information outcomes. Experience developing ETL procedures from multiple data sources to one data source. Experienced in developing Data Lakehouse's in Microsoft Fabric. Adept at building collaborative technical and business working relationships to deliver outputs and outcomes. Experienced in authoring technical documentation, able ...

will build scalable and resilient data solutions for games and related platforms. You may work on telemetry pipelines, analytics platforms, data warehouse and lakehouse design, reporting foundations, or backend integrations. You will be expected to speak directly with stakeholders and customers, clarify vague requirements, break down complex work, estimate ...

modern data platforms using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies . Proven experience implementing Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization . Expertise in building scalable data ingestion, transformation and orchestration pipelines … using Microsoft and/or Azure Databricks technologies. 3-5 years' experience in a client‐facing consultancy or professional services environment. Strong knowledge of Lakehouse, Data Warehousing, data modelling and modern analytics architectures. Experience building data pipelines, integration solutions and cloud-based data platforms. Excellent stakeholder management, workshop facilitation ...

services such as S3, Glue, EMR, and PySpark . Experience defining data standards, governance frameworks, and architectural roadmaps. Desirable Experience with Iceberg and modern lakehouse architectures. Exposure to AI-enabled data platforms and automation. Previous experience leading data transformation or cloud migration programmes. Apply now to join a high ...

hear from you if you offer a strong mix of any of the following: Data engineering on Microsoft Fabric and/or Azure - pipelines, lakehouse and warehouse, ETL/ELT, SQL and Python. Analytics and BI - Power BI, semantic modelling, governance and performance. Applied and Generative AI on Azure ...

Lead Solution Architect - Data Analytics include: Experience working with architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return ...

Experience with technologies such as Iceberg, Starburst, Teradata, HVR, or similar enterprise data platforms would be beneficial. Experience working with data lakes, data warehouses, Lakehouse technologies, or enterprise data platforms. A solid understanding of modern data engineering concepts such as data ingestion, change data capture (CDC), data modelling ...

patterns, technical standards and development work packages Experience designing and delivering scalable, secure and supportable data products or cloud data services Strong understanding of lakehouse architecture, medallion patterns, data ingestion, transformation, orchestration and data publication Experience supporting federated or distributed delivery teams through technical guidance, design review, enablement ...

similar Data visualisation Infrastructure as Code awareness, Terraform or similar Stakeholder management Nice to have: Real-time and event-driven data platform experience Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking ...

with clear contracts and reliability expectations. Ability to make sound engineering tradeoffs across latency, accuracy, cost, and security without creating brittle complexity. Experience with lakehouse patterns and open table formats (or similar), including governance and table maintenance. Experience with orchestration and streaming systems used in production (batch + real ...

workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectationsPreferred qualifications, capabilities, and skillsExperience with data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworksFamiliarity with AWS-native data services such as Glue, Lake Formation, Redshift, or AthenaExposure ...

data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience with data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworks Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift ...