76 to 100 of 437 Lakehouse Jobs in England

deliver data solutions that support business-wide analytics and future AI initiatives.Key responsibilities include: Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric Building scalable and reliable data pipelines using a Medallion architecture approach Designing robust data models and semantic layers across multiple business ...

standards. Develop Cloud-Based Workflows Orchestrate data workflows using AWS services such as Glue, EMR Serverless, Lambda, and S3. Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg. Apply Software Engineering Best Practices Use version control, CI/CD pipelines, automated testing, and modular code principles. Participate ...

system data integrations. Strong technical documentation and communication skills. Experience remediating and improving existing/inherited infrastructure. Desirable Experience with modern data warehouse or lakehouse platforms . Experience with notebook-based development and distributed data processing frameworks. CRM integration experience. CI/CD pipeline configuration. Experience supporting mobile application ...

Strong commercial data engineering background, building and running production pipelines end to end Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with cloud data platforms (AWS, Azure or GCP) and containerised ...

strategies. Technology & platforms • Continuously evolve the data infrastructure - challenging how data is harvested and distributed across the business. • Lead on Power BI, Data Lakes, Lakehouse and Machine Learning capabilities. • Stay ahead of emerging tools and technologies - and have the experience to deliver your recommendations. People & culture • Lead, develop ...

governance, data quality, security, privacy, and access control considerations in enterprise data environments.Working knowledge of Microsoft Fabric and its architectural building blocks, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Notebooks, semantic models, Power BI, data pipelines, governance, security, and workspace administration.Who we areAs the third largest data center provider ...

data quality, security, privacy, and access control considerations in enterprise data environments. Working knowledge of Microsoft Fabric and its architectural building blocks, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Notebooks, semantic models, Power BI, data pipelines, governance, security, and workspace administration. Who we are As the third largest data ...

reviews, pairing, and knowledge sharing. Problem‐Solving: Pragmatic approach to balancing technical excellence with delivery needs. Nice to Have Experience building 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. ...

take ownership of getting good quickly. People who wait to be trained will find this uncomfortable. Nice to have: Experience building 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. The Zego ...

reviews, pairing, and knowledge sharing. Problem-Solving: Pragmatic approach to balancing technical excellence with delivery needs. Nice to Have: Experience building 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. The Zego ...

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 ...

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 … standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted, accurate outputs. Support the migration and re-platforming ...

A bit about us: Established in 1994, The Fragrance Shop is the UK’s leading independent fragrance retailer. Our aim is to make mainstream and luxury fragrances affordable and accessible to all. We showcase more ...

cloud services. Support API-based integrations, with Workday integration experience considered good to have. Contribute to data snapshotting, Parquet-based storage and Fabric/lakehouse development where required. Apply good engineering practices, including source control, testing, peer review, monitoring and controlled deployments. Identify, investigate and resolve data quality, pipeline ...

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 Info #J-18808-Ljbffr ...

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 ...

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 ...

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 ...