76 to 100 of 221 Lakehouse Jobs in England

optimise Snowflake environments, including data sharing, secure data access, data warehouse design, performance tuning, governance, and cost optimisation. Databricks Architecture: Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics, AI, and machine learning workloads. Assessment & Modernisation : Evaluate existing data estates and develop migration strategies … modern cloud data platforms, including Snowflake and Databricks. Data Modelling & Design: Develop enterprise data models, Lakehouse architectures, medallion data architectures, and data platform standards. Integration & Engineering: Define scalable patterns for data ingestion, transformation, orchestration, and integration across cloud and hybrid environments. Collaboration: Partner with data engineers, analysts, cloud architects ...

play a key role in designing and building scalable data pipelines, supporting enterprise reporting and analytics, and migrating legacy data into a modern Azure Lakehouse environment. Key Responsibilities Develop and maintain data pipelines using Azure Data Factory, Databricks and Azure Lakehouse. Design ETL/ELT solutions supporting Bronze, Silver … Proven experience as an Azure Data Engineer. Strong Azure Data Factory (ADF) and Azure Databricks experience. Experience building ETL/ELT pipelines within Azure Lakehouse environments. Knowledge of Medallion Architecture and Delta Lake. Strong SQL and Python skills. Experience with Power BI datasets and data modelling. Familiarity with Azure ...

movement of data across on-premises and cloud sources into Amazon S3 and downstream analytics services.* Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift … data and analytics platforms.* Proven expertise in data integration and analytics platforms on AWS, with strong understanding of data warehousing, dimensional modelling, and lakehouse/data lake concepts.* Experience with AWS cloud platform, including Amazon S3, AWS Lake Formation, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, and related ...

Senior Data Engineer Location: Newcastle upon Tyne (Hybrid) Salary: £60,000 per annum Contract: Fixed Term - 2 Years About the Role We are looking for an experienced Senior Data Engineer to lead the design, development ...

Moody’s is seeking a Databricks Solution Engineer to design, build, and support scalable data, analytics, and AI solutions on the Databricks Lakehouse Platform. You will work with enterprise stakeholders to translate requirements into scalable, cost-efficient data products. The role requires 6+ years in data/analytics engineering ...

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 ...

leveraged to strengthen CoStar’s technology platform and development practices.Experience with .NET Core., Python, Jupyter, Notebook, AWS and NoSQL databases.Experience with Databricks and Lakehouse architectureWHAT’S IN IT FOR YOU Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best ...

bonus if you have:*** AWS exposure* Backstage experience - software catalog configuration, scaffolder templates, or plugin development* Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt* Exposure managing Databricks* Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar ...

Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse PlatformStrong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practicesExperience building and optimizing Extract, Transform, Load and Extract, Load, Transform … Associate certification or higher preferredDatabricks Generative AI Engineer Associate certification preferredResponsibilitiesDesign, build, and support scalable data, analytics, and artificial intelligence solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologiesBuild, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta ...

Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract … field Databricks Data Engineer Associate certification or higher preferred Responsibilities Design, build, and support scalable data, analytics, and artificial intelligence solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python ...

experience Experience working with Azure-based data platforms Experience with Databricks or similar modern data platforms Good understanding of data warehouse, data lake or lakehouse architectures If you are looking for a new challenge and want to help shape data solutions across a large-scale cloud data platform, please ...

architecture and analytics ecosystems. Strong stakeholder management and architecture governance experience. Desirable Experience Experience supporting Microsoft Dynamics 365 (D365) transformation programmes. Experience with Databricks, Lakehouse architectures and modern cloud data platforms. #DataArchitect #MDM #MasterDataManagement #Databricks #D365 #DataGovernance #EnterpriseArchitecture #OutsideIR35 #ContractJobs #DigitalTransformation Reasonable Adjustments: Respect and equality are core values ...

another regulated infrastructure sector Working knowledge of where and how programme data is stored and moved, for example cloud data platforms, warehouses or lakehouse architectures Relevant certification in a reporting or data platform Comfortable using AI tools to accelerate development, whether that's generating code, building dashboard front ends ...

into things that ship- Lead engineering teams through implementation- Shape long-term architectural strategy and capability**The environment**AWS, Azure, GCP · Databricks, Snowflake · lake, lakehouse and modern warehouse patterns · distributed processing · DevOps, IaC, secure deployment · governance, access control, analytics enablement**What we need**- Active DV clearance- Track record delivering ...

delivered * Lead and guide engineering teams through implementation * Shape longer-term data architecture and platform strategy **The environment** AWS, Azure, GCP · Databricks, Snowflake · Lake, Lakehouse and modern warehouse architectures · Distributed processing · DevOps, IaC and secure deployment · Governance, access control and analytics **What we're looking for** * Active DV clearance ...

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 ...

operating our AWS-based data platform using infrastructure as code Creating and managing CI/CD pipelines to enable safe, controlled deployments Supporting modern Lakehouse architecture, ingestion, processing and data serving layers Embedding security, governance and compliance controls across the platform Driving platform observability, monitoring, and performance optimisation Owning ...

implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across … Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise ...

lead the delivery of a modern enterprise data platform for a leading financial services organisation. The role will take technical ownership of Databricks lakehouse solutions, covering ingestion through to curated serving layers. Responsibilities will include implementing Medallion Architecture, Unity Catalog, Declarative Pipelines and scalable Databricks-native ingestion patterns while ...

Databricks experience delivering production solutions • Active/current Databricks certification - Data Engineer, Machine Learning or Generative AI • Strong experience designing and implementing Databricks Lakehouse architectures • Hands-on implementation of Medallion Architecture - Bronze, Silver and Gold layers • Experience with Unity Catalog, including governance, access control, lineage and secure data sharing ...

ability to guide peers on safe and effective usage within team practices. Preferred Qualifications, Capabilities, and Skills: Experience building data products on Databricks using lakehouse patterns, including Delta Lake and medallion architecture Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined data ...

database and data modelling skills Experience with agentic AI coding tools (Claude Code, Copilot Agent Mode, Devin) and spec-driven development Big data/Lakehouse (Snowflake), ETL pipelines (Spark, Glue), or event streaming (Kafka) Interest in investment banking or financial instruments ABOUT GOLDMAN SACHS At Goldman Sachs, we commit ...

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 ...

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 ...

modelling and curation for large-scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs ...