51 to 75 of 174 Lakehouse Jobs in London

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...