51 to 75 of 260 Lakehouse Jobs in the UK

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 ...

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 ...

building production-grade data platforms.Extensive experience implementing CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or equivalent DevOps tooling.Deep understanding of Data Lakehouse architecture, data modelling, security, and GDPR-compliant solution design.Experience using AI-enabled tools responsibly to improve engineering efficiency while maintaining appropriate human oversight, governance ...

with experience working with distributed data processing frameworks.Expertise delivering end-to-end data pipelines across ingestion, transformation, and serving layers within modern Data Lakehouse architectures.Experience with schema design, GDPR-compliant data solutions, DevOps tooling, and CI/CD processes.A collaborative approach to engineering with experience using AI-enabled tools ...

grade data platforms. Extensive experience implementing CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or equivalent DevOps tooling. Deep understanding of Data Lakehouse architecture, data modelling, security, and GDPR-compliant solution design. Experience using AI-enabled tools responsibly to improve engineering efficiency while maintaining appropriate human oversight ...

assessment, heterogeneous migration (for example Oracle/PostgreSQL to Azure), and modernisation tooling.Hands-on experience building end-to-end analytics solutions in Microsoft Fabric — Lakehouse/Warehouse, Data Factory pipelines, Spark and notebooks, semantic models, Power BI, and Real-Time Intelligence — or comparable modern data platforms such as Databricks.Understanding ...

Science, Data Science, or equivalent experience. 5+ years of experience in Data Engineering, Analytics Engineering, or related fields. Hands-on experience with Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks) and/or Databricks. Strong proficiency in SQL, Spark, and Python, with experience across enterprise systems ...

analysts on good design practice, documentation quality and effective stakeholder communication. Key Knowledge, Skills and Experience Strong experience designing modern data platforms using Lakehouse and warehouse patterns across batch and streaming use cases. Deep understanding of cloud‐based data services (e.g., Azure, AWS, GCP) and big‐data technologies such ...

NoSQL, Databricks etc.)You have familiarity working with modern software engineering tools (Git, CI/CD pipelines), cloud technologies (e.g. AWS, Azure) and Data Lakehouse ArchitecturesYou have experience of designing and implementing technical data governance strategies with a focus on data quality and discoverable metadata, with practical knowledge ...

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 ...

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 ...

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 ...

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 ...

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 ...