101 to 125 of 499 Lakehouse Jobs in the UK

Catalog, Jobs/Workflows and PySpark. An understanding of infrastructure as code and reproducible deployment practices. Familiarity with dbt and modern data warehouse/lakehouse patterns. PureGym is proud to be an equal opportunities employer. Our company mantra is 'Everybody Welcome' and we are dedicated to promoting a diverse ...

Marketplace and Cloud Adoption.Specialist Sales Lead - Google CloudFocus areas include BigQuery, Vertex AI, Gemini, Data Platforms and AI Industrialisation.Specialist Sales Lead - DatabricksFocus areas include Lakehouse Modernisation, Data Engineering, Analytics and AI Platforms.Specialist Sales Lead - SnowflakeFocus areas include Data Cloud, Analytics, AI, Governance and Platform Optimisation.Additional InfoWe're a Disability ...

Cloud Adoption.Specialist Sales Lead - Google Cloud Focus areas include BigQuery, Vertex AI, Gemini, Data Platforms and AI Industrialisation.Specialist Sales Lead - Databricks Focus areas include Lakehouse Modernisation, Data Engineering, Analytics and AI Platforms.**Specialist Sales Lead - Snowflake** **Focus areas include Data Cloud, Analytics, AI, Governance and Platform Optimisation.**## **Additional ...

including building pipelines and working with data storage and transformation. You'll also bring strong SQL, Python and data modelling skills, an understanding of lakehouse and warehouse approaches, and experience preparing data for Power BI. You should be comfortable taking ownership, explaining your decisions and sharing your knowledge with ...

someone who wants to move away from development into pure management. You'll work across: Python/PySpark Microsoft Fabric Spark and notebook engineering Lakehouse/Medallion architecture Delta SQL Azure Git/CI/CD Automated testing Data quality and observability Reusable engineering patterns They're particularly interested ...

Python, PySpark and notebook-based development. What you’ll be working with The environment includes: Python/PySpark Microsoft Fabric Spark and notebook development Lakehouse architecture Medallion/Bronze, Silver & Gold patterns Delta tables SQL Azure Git/source control CI/CD Testing, monitoring and data quality Experience ...

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 ...

including data modelling, DAX, and dashboard design. Capability in SQL for data transformation, optimisation, and reporting solutions. Experience using Microsoft Fabric, including pipelines, lakehouse, and warehouse functionality. Confidence communicating insight to a range of audiences through clear data storytelling and analysis. Knowledge of data governance, data quality management ...

someone strong on one will pick up another quickly Have deep SQL skills and hands‐on experience with data modelling (e.g. Kimball, medallion/lakehouse patterns, or domain-driven modelling) - this is the load‐bearing, provider‐agnostic skill underneath almost all of our pipeline work Have strong proficiency ...

identifying issues and improving quality. Nice to have Python experience, particularly for test automation, test data creation, or data validation activities. Experience working within Lakehouse architectures and modern data platforms. Some of our benefits Flexible, hybrid working model Inclusive culture and environment, check out our Glassdoor reviews £1000 flexible ...

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 ...

take ownership of getting good quickly. People who wait to be trained will find this uncomfortable. Nice to Have: Familiarity with Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. Pay Transparency ...

workflow orchestrator such as Airflow, Dagster or Prefect, and transformation tooling such as dbt or equivalent SQL-based workflows Cloud warehouse, lake or lakehouse experience , and integrating data from external APIs, databases and files Correctness under failure. Understanding of schema design, data contracts, idempotency, replay, backfills and late-arriving ...

establishing engineering standards that improve reliability, maintainability, scalability and reuse.Your experience is likely to include several of the following: Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure … dependency management, exception handling and delivery. Design and assure robust analytical data models translate complex analytical and business requirements into well-engineered, reusable dimensional, Lakehouse, Data Vault and semantic models that improve analytical consistency and performance. Drive automation and analytical productivity identify manual, repetitive and inefficient processes within Data ...

models Design secure, scalable, resilient, and supportable data platforms and solutions Define patterns for data integration, transformation, storage, and analytics Support the design of lakehouse, warehouse, and reporting solutions using Azure-based services Ensure data quality, lineage, governance, and security are incorporated into solution design Collaborate with engineers … skills Self-sufficient and collaborative, with the ability to work independently, alongside a structured, detail-oriented, and outcome-focused approach Experience with Microsoft Fabric, lakehouse architectures, and hands‐on development using Python, SQL, or Spark would be advantageous, along with familiarity with integration technologies Knowledge of DevOps practices, Infrastructure ...

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 ...

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 ...

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 ...

decision-making. Working between Data Engineering, Data Product Owner, and the business, you'll design and maintain analytical data models within our Snowflake data Lakehouse, curate governed datasets and support the ongoing maintenance and evolution of the enterprise semantic layer to ensure it remains accurate, scalable, and easy ...

maintain test strategies, test plans, test cases, and test data sets aligned to each platforms delivery cadence and risk profile. Test data warehouse, lakehouse, and reporting outputs built on Azure Synapse, Microsoft Fabric, Tableau, and Power BI verifying data accuracy, performance, and visualisation correctness. Test integrations and middleware flows ...

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 ...

Python: You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data Lakehouse Architecture: You have a strong grasp of the principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions: You possess experience with ...

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 ...

data architect or senior data engineer working on large‐scale data and analytics platforms. Deep understanding of modern data architectures (e.g. data lakehouse, event‐driven architectures, streaming, data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure ...

data engineering experience Strong Python & SQL skills Experience with Apache Spark/PySpark Ability to monitor, troubleshoot, and resolve pipeline failures Familiarity with lakehouse concepts Experience with Git, Databricks, streaming/CDC, AWS, Great Expectations Nice to have Exposure to YAML Experience building analytics data models in Spark What ...