151 to 175 of 499 Lakehouse Jobs in the UK

Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure as Code and modern testing practices Agile delivery experience (Scrum/Kanban) Experience ...

integral part of our team dedicated to building scalable, secure, and well-governed data platforms. You will leverage your expertise in ADF, Fabric (Lakehouse, Warehouse, and Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics … orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Azure services.* Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure ...

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, or operational objectives into manageable tasks and activities Preferred qualifications, capabilities, and skills Experience delivering on modern data stacks (e.g., cloud data platforms, lakehouse/warehouse patterns, streaming platforms) and partnering with architecture on scalability, resiliency, and cost-to-serve. Experience with governance and controls: data access controls ...

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 ...

them to guide roadmap priorities and architecture governance decisions. PERSONAL PROFILE Deep expertise in Databricks (Unity Catalog, Delta Lake, Spark, Databricks SQL) or equivalent Lakehouse platforms, including administration, cost management, and performance optimisation. Strong understanding of cloud-native architecture principles, cost models, and practical experience with CI/ ...

govern, and activate customer data while maintaining full ownership and control. By running directly on top of the customer's cloud data warehouse or lakehouse, RudderStack reduces data movement, improves governance, lowers infrastructure costs, and accelerates modern data and AI initiatives. Leading companies including Lovable, Jaguar Land Rover ...

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 ...

products with the market insight needed to shape and prioritise roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale‐out methods, identity and security management, migrations ...

access strategies such as replication, federation and zero-copy, clarifying the cost in latency, licensing, governance, scalability Worked with data in a warehouse or lakehouse as well as in a Salesforce org. (Familiarity with Salesforce Data 360 is welcome) Delivered migrations off legacy systems and data sources Designed ...

Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/Coding languages - Go, Bash, Python Confident working ...

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. At Databricks, we strive to provide comprehensive benefits and perks that ...

EPAM Systems in the United Kingdom is hiring a Microsoft Fabric Data Engineer to design, deploy and run enterprise-grade data and analytics solutions using Microsoft Fabric and Power BI. You will collaborate with Solution ...

Data Engineering teams. Strong hands-on experience with modern cloud-based data platforms. Excellent SQL and Python skills. Extensive experience with Databricks, Spark and lakehouse architectures. Strong knowledge of data engineering, data modelling and architecture best practice. Experience delivering data solutions for reporting, analytics and data science. Excellent communication ...

assurance expectations. Experience with cross-domain transfer solutions, guards or controlled data movement between security domains. Experience with data catalogues, data mesh, data fabric, lakehouse or data product operating models. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. #J ...

Databricks SQL and PySpark. Strong understanding of Apache Spark execution, data distribution, joins, shuffles and performance optimisation. Experience with Delta Lake and modern lakehouse architecture. SQL/Synapse to Databricks Migration Demonstrable experience migrating SQL workloads from Synapse Dedicated SQL Pools or similar MPP SQL environments into Databricks. Strong ...

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 ...

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 ...

trade-offs including performance optimization, cost management, scalability, and operational excellence Deep technical understanding of modern data platform architectures including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding ...

Strong hands-on experience building and operating modern, cloud-based data platforms. Strong SQL and Python skills, with extensive experience in Databricks, Spark and lakehouse architectures. Strong understanding of data engineering, modelling and architecture best practices. Experience delivering data solutions for reporting, analytics and data science. Excellent communication ...

/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 ...

Apache Spark experience(PySpark/Spark SQL), including performance tuning (partitioning, shuffle optimization, caching), troubleshooting, and designing scalable batch/stream processing patterns. Deep lakehouse and data platform expertise(e.g., Delta Lake concepts, schema evolution, data quality frameworks, lineage/metadata, and governance patterns) applied in production environments. Strong ...

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 ...