1 to 25 of 26 Permanent Lakehouse Jobs in Central London

data platforms and modern data services. Experience with platforms such as Snowflake, Microsoft Fabric, Databricks or equivalent. Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata management. Exposure to AI/ML integration within data solutions ...

Architect modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics ...

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 ...

batch data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation. Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval patterns. Stays current with Snowflake features, best practices, and industry trends in cloud data platforms. Performs additional ...

containerization (Docker) and basic container orchestration concepts Knowledge in platform security practices including IAM, encryption, and network security basics Knowledge of data warehouse and lakehouse technologies (Snowflake, Databricks) Awareness of FinOps principles and cloud cost optimization Experience supporting multiple teams or use cases with shared platform capabilities Experience building ...

consulting engagements within a consultancy, systems integrator or technology services business You have strong hands-on knowledge of Microsoft Fabric, including data engineering, Lakehouse and Warehouse architectures, integration, governance and security You have Power BI expertise, including semantic modelling, enterprise reporting, governance and adoption You have a broad knowledge ...

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 ...

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 ...

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 ...

ROLE As an Analytics Engineer at Onmo, you will be the day-to-day owner of the business-ready layer of our Databricks lakehouse: the dimensional models, governed metric definitions and self-serve tools that Finance, Credit Risk, Collections and Operations rely on. You will sit between data engineering ...

accelerators, and background IP to support go‐to‐market activities. Lead development of intelligent data platform projects: integrate data from multiple systems, transform through lakehouse architectures, and make data available for reporting, AI, and conversational analytics. Maintain awareness of channels to market and the ability to work within ...

Microsoft Fabric is at the heart of where the data platform is going. Youll work across: Building data pipelines using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Developing data models and analytics solutions Power BI development ETL/ELT SQL and SQL Server Azure Data Lake Internal and third … isnt a requirement. Youll have the opportunity to develop that experience alongside your core Data Engineering work. Technology environment Data: Microsoft Fabric, Lakehouse, Warehouse, OneLake, Azure Data Lake, Azure Synapse Analytics: Power BI Engineering: SQL Server, SQL, ETL/ELT, API integrations Delivery: Azure DevOps, Git, CI/ ...

drive continuous improvement and effective delivery outcomes. Desirable experience includes: Experience working within cloud-based data and analytics environments, including AWS, Databricks and Lakehouse architectures. Familiarity with Tableau reporting and analytics solutions. Understanding of Data Governance, Data Quality and associated delivery standards. Knowledge of SAP data environments, including ...

support continuous improvement and effective team delivery. Desirable experience includes: Experience working within cloud-based data and analytics environments, including AWS, Databricks or Lakehouse architectures. Familiarity with Tableau reporting and analytics solutions. Understanding of Data Governance, Data Quality and associated delivery standards. Knowledge of SAP data environments, including ...

tooling — VS Code, GitHub Copilot — and the modern developer environment Hands-on with data-quality tooling, metadata platforms, lineage frameworks, and modern data platforms (lakehouse/warehouse patterns, distributed processing, APIs/data services) #J-18808-Ljbffr ...

profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content … readiness and AI. What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI). Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master ...

lead technical responses on data platform opportunities. You will design modern data platforms, enable data-driven decisions, and guide customers from legacy estates toward lakehouse/warehouse architectures on Databricks, Snowflake, Microsoft Fabric and Starburst. The role combines technical leadership with pre-sales engagement, governance, security, cost awareness ...

Science capability. You will build predictive models and analytics solutions, setting standards and best practices for ML across the organisation within the Azure Databricks Lakehouse environment. You will lead the application of machine learning and statistical modelling to drive strategic decisions, while mentoring data scientists and partnering with stakeholders ...

team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, and a culture that values ownership and continuous improvement. This role offers meaningful scope to influence platform standards … e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino and table formats such as Iceberg, Hudi, or similar) Strong ...

Cushman & Wakefield seeks a Senior Data Engineer to drive data transformation across EMEA & APAC. You will advance a Databricks-native Lakehouse, build agentic workflows, and own end-to-end data pipelines. The role demands architectural judgment, cross-domain depth, and a hands-on approach to complex data problems. ...

Build the UK's best Data & AI Solution Sales business by leading and developing this growth CoE (consisting of modern data platform and lakehouse, data engineering and integration, data governance, quality and lifecycle management, analytics and business intelligence, and applied AI and agentic solutions that provide the foundations … brand and engaging with multiple internal business units Core technical breadth across the Data & AI domain sufficient to lead credibly: modern data platform and lakehouse architectures (Microsoft Fabric, Azure, Databricks), data engineering and integration, data governance, cataloguing, lineage and quality (Microsoft Purview), analytics and BI (Power BI), and applied ...

teams to deliver resilient data services. The role emphasizes automation, improved observability, incident response and continual improvement as we evolve our data platforms and lakehouse #J-18808-Ljbffr ...

solve business challenges, while defining the tools, standards and best practices required to build a scalable Data Science function within the Azure Databricks Lakehouse environment. At Bibby Financial Services (BFS), we’ve been helping small and medium-sized businesses thrive and grow since 1982. Working across 9 countries … organisation. Define approaches for model development, validation, deployment and lifecycle management. Develop scalable and repeatable Data Science and MLOps processes within the Azure Databricks Lakehouse environment. Collaborate with Data Engineering, Data Architecture and Data Governance teams to ensure Data Science solutions align with wider data standards and platform capabilities. ...

transformation of our EMEA and APAC business, and we are hiring a Senior Data Engineer to help build what comes next. Our Databricks-native Lakehouse is established and mature and already supports the business end to end. The work ahead is more ambitious: applying agentic capabilities at genuine enterprise … transformation of our EMEA and APAC business, and we are hiring a Senior Data Engineer to help build what comes next. Our Databricks-native Lakehouse is established and mature and already supports the business end to end. The work ahead is more ambitious: applying agentic capabilities at genuine enterprise ...

deliver a scalable, governed data ecosystem. Key Responsibilities Define and own the enterprise data architecture strategy and roadmap Lead the design of modern Azure lakehouse and data platform architectures Shape and embed enterprise data governance, modelling and architecture standards Drive the adoption of a data product operating model across … Enterprise Data Architect within large, complex organisations Previous line management or leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern ...