51 to 75 of 221 Lakehouse Jobs in England

Data Modelling Advanced SQL Strong expertise in Power BI, DAX and Power Query Expert dimensional & semantic modelling Strong knowledge of Microsoft Fabric - Warehouse, Lakehouse, OneLake & Direct Lake Experience owning enterprise/cross-business-unit data models Strong stakeholder management and leadership skills This is a great opportunity ...

extend or become a permanent member of the team Compensation: OTE £90,000 Location: Hybrid/client-site as required Technology environment: AWS, Databricks, Lakehouse architecture, complex relational databases, ETL/CDC pipelines About Transform Together Transform Together is a digital transformation consultancy helping organisations deliver business and technology ...

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 ...

Staff Software Engineer on the Data Engineering team, you set the technical direction for the Caspian Data Platform — the company's centralized lakehouse powering analytics, financial reporting, product intelligence, and data-driven operations across every business unit. You own the architecture for ingestion, transformation, governance, and data quality across ...

driving best practices, and guiding engineering teams to deliver scalable, secure, and cost optimized data platforms. \* Design end to end data platforms leveraging Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and ML/AI workloads. \* Define data ingestion, transformation, governance, and consumption frameworks aligned to enterprise standards. \* Evaluate ...

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 ...

democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. EEO Statement At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. ...

democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive ...

Strong expertise in data modelling and SQL Hands-on experience with AWS data stack (or similar cloud platforms) Deep understanding of modern data architectures (lakehouse, warehousing, ETL/ELT) Experience with data governance, quality, and compliance Ability to balance strategic thinking with pragmatic delivery Strong stakeholder engagement skills across ...

experience in data platform architecture, data engineering or cloud data infrastructureDeep expertise in Databricks (Unity Catalog, Delta Lake, Spark, Databricks SQL) or an equivalent Lakehouse platform, including administration, cost management and performance optimisationStrong understanding of cloud native architecture principles, cost models and CI/CD pipelinesProven experience implementing data ...

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 ...

data platforms, including technologies such as GCP, BigQuery, Dataflow, Dataproc, Azure, AWS, or equivalent solutions. Strong understanding of modern data architectures, including data lakes, lakehouse architectures, streaming platforms, real-time processing, and event-driven ecosystems. Experience establishing data as a strategic product, enabling business growth, customer value, operational performance ...

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 ...

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 ...

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 ...

with the Program Office for planning deliveries, providing timelines, cost estimates, and status updates. Partner with Data Engineering to ensure data pipelines and lakehouse structures support AI delivery needs. Team Development: Support the Head of Data Science & AI Delivery in leading and developing a growing team of Data Scientists ...

highly skilled Databricks Data Engineer to join our Data & AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimizing modern data ecosystems … with Databricks Workflows and other orchestration tools.• Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).• Familiarity with medallion architectures, data lakehouse principles and distributed data processing.• Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.• Understanding of data governance, security, and compliance ...

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 ...

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/ ...

agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram. Benefits At the company, we strive to provide comprehensive ...

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 and perks ...

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 ...

MicroStrategy, PowerBI) Experience implementing cloud-based data and analytics solutions in production environments Knowledge of modern data architecture patterns such as data mesh, data lakehouse, or event-driven analytics Familiarity with common financial services data platforms and vendors (e.g. KDB+, Bloomberg, Snowflake, Databricks) and how they integrate with cloud ...

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. ...