76 to 100 of 272 Lakehouse Jobs in London

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 ...

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 ...

access strategies such as replication, federation and zero-copy, clarifying the cost in latency, licensing, governance, scalability Worked with data in a warehouse or lakehouse as well as in a Salesforce org. (Familiarity with Salesforce Data 360 is welcome) Delivered migrations off legacy systems and data sources Designed ...

Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/Coding languages - Go, Bash, Python Confident working ...

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 that ...

EPAM Systems in the United Kingdom is hiring a Microsoft Fabric Data Engineer to design, deploy and run enterprise-grade data and analytics solutions using Microsoft Fabric and Power BI. You will collaborate with Solution ...

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. #J ...

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 ...

trade-offs including performance optimization, cost management, scalability, and operational excellence Deep technical understanding of modern data platform architectures including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding ...

Apache Spark experience(PySpark/Spark SQL), including performance tuning (partitioning, shuffle optimization, caching), troubleshooting, and designing scalable batch/stream processing patterns. Deep lakehouse and data platform expertise(e.g., Delta Lake concepts, schema evolution, data quality frameworks, lineage/metadata, and governance patterns) applied in production environments. Strong ...

adviser who can challenge assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytics ecosystems. Architect cloud-native data platforms—particularly Snowflake—covering performance, workload management, security, access … Experience in pre-sales, solution estimation, technical proposal development and client-facing presentations. Deep expertise in modern data architectures, including data warehouses, data lakes, lakehouse platforms and analytics ecosystems. Extensive experience in enterprise and dimensional data modelling, semantic layers, master data strategies and data governance frameworks. Strong understanding ...

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 ...

Data Engineer- Associate Manager Location: London Salary: Competitive salary package depending on experience Career Level: Associate Manager (CL8) Accenture is a leading global professional services company, providing a broad range of services in strategy and ...

ROLE As an Analytics Engineer at Onmo, you will be the day-to-day owner of the business-ready layer of our Databricks lakehouse: the dimensional models, governed metric definitions and self-serve tools that Finance, Credit Risk, Collections and Operations rely on. You will sit between data engineering ...

Preferred qualifications Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services , ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time ...

Extensive cloud architecture experience, ideally Azure, spanning networking, identity, security, infrastructure, deployment, and cost optimisation. Deep data and integration architecture expertise, including data modelling, lakehouse/warehouse architectures, data quality, governance, and complex system integrations. Proven knowledge of security, compliance, and non‐functional architecture within regulated or data‐sensitive ...

MSCI), parsing financial documents at scale, and/or optimising LLM performance, cost, and latency. Exposure to enterprise data architectures (Kafka/Event Hubs, lakehouse, Snowflake, Oracle) and experience distributed international teams. Location & Work Model: Location: London,UK Working model: Remote for the first 6 months, transitioning ...

application architectures. Knowledge of cloud platforms including Microsoft Azure, AWS, and Google Cloud. Experience with modern data platforms including Databricks, Snowflake, vector databases, and lakehouse architectures. Understanding of data governance, responsible AI, AI security, GDPR, and AI regulatory requirements. Hands-on ability to create prototypes and proof-of-value ...

scale it. Databricks is a more technical sell and a more technical build than most enterprise platforms. Depth matters. You'll go deep on Lakehouse architecture, own design decisions clients live with for years, and stay close enough to the keyboard to prove they work. You'll also ...

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 … higher preferred Databricks Generative AI Engineer Associate certification 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 ...

Stott and May is seeking a Lead Data Engineer to provide technical leadership and hands-on delivery for a Databricks-centric data platform in the insurance/fintech space. You will own architecture, strategy and ...

Sonata Software is seeking a Data Architect for a permanent hybrid role in the UK. The candidate will lead data architecture with extensive Azure Databricks experience, including Delta Lake medallion patterns and Unity Catalog governance. ...

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 ...

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 ...