1,026 to 1,050 of 1,283 Databricks Jobs in London

Korn Ferry is seeking a Data/AI Engineer (Databricks) to drive production-ready data and AI solutions across ~1,000 sites. The role focuses on Databricks engineering, LLM pipelines, and agent development, delivering hands-on delivery rather than advisory work. The contract is initially 6 months with remote working. ...

SLSQ327R361 Databricks is seeking multiple Lakebase Sales Specialists (UKI) to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive … strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires ...

Описание Sagacity provides a client data platform based on Databricks Lakehouse pipelines, gold-layer views, and analytics datasets supporting marketing, billing, credit, and debt outcomes across multiple industries. Задачи Author, run, and maintain test plans across client deployment phases using SPHERE's YAML-driven test framework; Investigate test failures through … Databricks Lakehouse stack, identify root causes, and provide evidenced findings; Manage QA work items in ClickUp throughout the delivery lifecycle; Collaborate with Data Engineers to agree expected behaviours, review data contracts, and validate fixes; Coordinate with UAT stakeholders on acceptance criteria and QA findings; Provide client-facing QA assurance ...

days in the office at our London location.What will you do Design and build REST and GraphQL APIs that expose ML models from Databricks to internal apps, CRM platforms, and enterprise systems-handling contract design, versioning, authentication, and clear documentationBuild MCP servers that expose models and data products as structured … cases and unlocking what's possible with AICreate middleware layers when needed-handling transformation, enrichment, or protocol adaptation to bridge gaps between Databricks and downstream consumersKeep APIs stable and well-documented-actively gather feedback from consumers (BI team, app builders, etc.) to fix gaps early and iterate based on what ...

technical challenges, contribute to engineering standards and help drive best practices across the team. You'll build scalable data pipelines and frameworks using Azure, Databricks and PySpark, working across the full engineering lifecycle from design through to production. You'll also support other engineers through code reviews, knowledge sharing … deliver reliable data solutions that create real business value. Skills & Experience Strong experience building cloud-native data platforms, ideally on Azure Commercial experience with Databricks, PySpark and Python Strong SQL and data engineering expertise Experience designing and delivering scalable ETL and data pipeline solutions #J-18808-Ljbffr ...

quality issues, trends and exceptions. Review financial and actuarial processes to identify automation and process improvement opportunities. Design and build automated data workflows using Databricks and scalable data pipelines. Reduce reliance on manual and Excel-based processes by improving data automation and efficiency. Collaborate with finance and actuarial teams … within the Insurance industry. Technical background in Finance, Actuarial Science, Data Analytics or a related field Practical experience with Power BI, SQL, R and Databricks Solid understanding of financial and/or actuarial processes and data #J-18808-Ljbffr ...

technical challenges, contribute to engineering standards and help drive best practices across the team. You'll build scalable data pipelines and frameworks using Azure, Databricks and PySpark, working across the full engineering lifecycle from design through to production. You'll also support other engineers through code reviews, knowledge sharing … deliver reliable data solutions that create real business value. Skills & Experience Strong experience building cloud-native data platforms, ideally on Azure Commercial experience with Databricks, PySpark and Python Strong SQL and data engineering expertise Experience designing and delivering scalable ETL and data pipeline solutions If you're looking ...

role is accountable for establishing greenfield data flows, standards, and operating models, enabling faster, better decision‐making through accurate data, integrated views (GA4, Salesforce, Databricks, COGNOS), and scalable insight products (dashboards, attribution, MMM). Act as the primary point of contact for all digital tracking and marketing data issues, ensuring … marketing KPI dictionary and data model; steward the single source of truth. Define data pipelines between martech platforms and enterprise solutions (Salesforce, COGNOS, Databricks). Set QA/alerting SLAs, prioritise analytics backlog. Advise on experimentation, attribution and MMM, recommend budget reallocations based on evidence.Key Responsibilities:Design and build ...

technical pointof contact during the Monthly, Quarterly and Year-end Close process. Designand build scalable ETL workflows using Azure Data Factory and Databricks,replacing legacy SSIS pipelines. Identifying opportunities toharden and automate manual steps within the Finance Close workflow ConductT-SQL performance tuning across on-prem and cloud environments.ConductT … documentation. Key Requirements Experience of supporting thePhinsys System is highly desirable. Hands-on experience of Cloudbased platforms and technologies such as Synapse Analytics, Fabric,Databricks, Snowflake. Azure DBA experience isadvantageous. Solid knowledge of ETLtechnologies, specifically SSIS and Azure Data Factory and pipelines. Solid knowledge of core SQLServer elements including ...

CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform. The Senior Data Engineer (ML) will build and migrate data pipelines feeding model training and inference, ensuring parity with the old Databricks setup. This hands-on role operates in a regulated iGaming ...

offering launchesPackage deal experience into playbooks the wider architect community can reuseCo-own architecture patterns with SI and hyperscaler partners (AWS, GCP, Azure, Snowflake, Databricks)Qualifications15+ years in enterprise architecture, technical consulting, or technical pre-sales in Data/AIProven Enterprise-architecture Credential (Zachman, TOGAF) — Salesforce CTA a plus. Must … clearly demonstrate Salesforce Platform depthArchitect-level, hands-on experience on a major data platform (e.g. GCP, Snowflake, Databricks, AWS, or Azure)Track record as an Enterprise Architect, or trusted advisor to Enterprise Architects, in large complex stacksProven builder of reference architectures/technical GTM narratives for new offeringsDemonstrated C-level ...

Provide technical guidance and oversight throughout the delivery lifecycle. Technical Expertise Extensive experience in Data Platform Architecture, Analytics, and Cloud Solutions. Strong expertise in Databricks, Azure Data Services, and modern data architectures. Experience designing enterprise-scale data platforms and AI-enabled solutions. Deep understanding of data engineering, governance, security … senior stakeholders and driving technical alignment. Proven track record of leading cross-functional and geographically distributed teams. Partner & Industry Engagement Active engagement with Microsoft, Databricks, and relevant technology communities. Strong understanding of technology roadmaps, best practices, and reference architectures. Ability to leverage partner expertise to maximise client value. Success Measures ...

Package deal experience into playbooks the wider architect community can reuse Co-own architecture patterns with SI and hyperscaler partners (AWS, GCP, Azure, Snowflake, Databricks) Qualifications 15+ years in enterprise architecture, technical consulting, or technical pre-sales in Data/AI Proven Enterprise-architecture Credential (Zachman, TOGAF) - Salesforce … plus. Must clearly demonstrate Salesforce Platform depth Architect-level, hands-on experience on a major data platform (e.g. GCP, Snowflake, Databricks, AWS, or Azure) Track record as an Enterprise Architect, or trusted advisor to Enterprise Architects, in large complex stacks Proven builder of reference architectures/technical GTM narratives ...

Provide technical guidance and oversight throughout the delivery lifecycle. Technical Expertise Extensive experience in Data Platform Architecture, Analytics, and Cloud Solutions. Strong expertise in Databricks, Azure Data Services, and modern data architectures. Experience designing enterprise-scale data platforms and AI-enabled solutions. Deep understanding of data engineering, governance, security … senior stakeholders and driving technical alignment. Proven track record of leading cross-functional and geographically distributed teams. Partner & Industry Engagement Active engagement with Microsoft, Databricks, and relevant technology communities. Strong understanding of technology roadmaps, best practices, and reference architectures. Ability to leverage partner expertise to maximise client value. Success Measures ...

data productsGuide and control the creation of data domains that align with the banks underlying capabilitiesData Engineering & PlatformsDesign data product schemas across Snowflake and Databricks, including Delta Lake structures and access patternsDefine and enforce architectural guardrails for data product design, including performance, scalability, security, and cost efficiencySet design standards … review transformation/pipelines for complianceEmbed data contract standards and data quality frameworks across pipeline outputsAgentic AI & AI-Assisted DevelopmentLeverage Snowflake Cortex/Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data productsUtilize GitHub Copilot (or similar) to accelerate modelling, documentation, and pipeline ...

hands-on engineering role requiring strong expertise across both front-end and back-end development, with particular focus on React, TypeScript, Azure, Databricks, .NET and/or Python. The successful candidate will work across the full software development lifecycle, from requirements gathering and solution design through to development, deployment, production … TypeScript Strong back-end development experience using .NET/C# and/or Python Hands-on experience with Microsoft Azure Hands-on experience with Databricks and data platform integrations Experience with both .NET and Python development Experience building AI-enabled or agentic applications Experience with Azure AI Services, OpenAI, LangChain ...

they can move from experimentation into production.Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide.Our technology ecosystem includes Snowflake, Databricks, AWS, Microsoft Azure, Google Cloud, Okta, ServiceNow, Teradata, Alation, Atlan, and Starburst — connecting Immuta to the data, cloud, identity, and enterprise platforms powering modern data … best workplaces, and by Fast Company as one of the world’s most innovative companies.Immuta has raised $263 million from investors including NightDragon, Snowflake, Databricks, ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.We operate ...

these are adopted at scaleHands-on breadth across major cloud platforms and marketplace ecosystems, including Microsoft Azure, Amazon Web Services, Google Cloud Platform, and Databricks, with experience deploying and operating integrations in production across these environmentsStrong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, and data … architectures, solution options, and recommendations to both technical and non-technical audiencesDeploy, monitor, and optimise integrations across cloud environments including Microsoft, AWS, GCP, and Databricks, establishing operational and reliability standards for the teamDefine and champion integration patterns and protocols, including Model Context Protocol (MCP) and A2A, ensuring seamless interoperability across ...

data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance.AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases that … experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms — Snowflake, Palantir Foundry or Databricks — as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative ...

through Product Owners, architects, engineers and business SMEs; comfortable shaping acceptance criteria, priorities, value measures and handover into production.Practical exposure to Azure data services, Databricks, SQL, Python/Spark, event-based integration and DevOps practices; hands-on engineering experience is beneficial.Degree in a relevant discipline or equivalent experience; Azure Data … Engineer, Databricks or data governance certifications are a plus.What we offerYou bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow ...

pricing and commercial performance data. Enable measurement of realised price uplift, pricing adoption, discount effectiveness, and commercial outcomes. Design scalable pricing analytics within the Databricks and BI environment. Develop governance and reporting frameworks supporting and executive decision-making. What we’re looking for: Must have skills and experience : 5+ years … Commercial Analytics Data Architecture Data Analysis Business Intelligence Experience designing enterprise-scale data models. Advanced expertise with SQL or similar technologies. Strong experience with: Databricks Salesforce CPQ platforms B2B SaaS or adjacent-industry pricing experience. Experience building leadership dashboards and KPI frameworks. Ability to translate complex data into business recommendations. ...

data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance. AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases … experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms — Snowflake, Palantir Foundry or Databricks — as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative ...

several of the areas below and working knowledge across the rest. AI platform & cloud architecture Architect AI andDataPlatforms using a mix of technologies including Databricks, Snowflake,Claude Enterpriseand the native services of Azure,AWSand GCP-selecting the right tool for the workload rather than defaulting to a single vendor. Design … role — including accountability for end-to-end solution design,resourcingand commercial outcomes. Proven ability to architect enterprise AI platforms across a mix of technologies (Databricks, Snowflake, Azure, AWS, GCP) withstrong designcapability across cloud,dataand AI domains. Working understanding of how AI integrates with major operational systems such as SAP,Salesforceand ...

areas below and working knowledge across the rest. AI platform & cloud architecture Architect AI and Data Platforms using a mix of technologies including Databricks, Snowflake, Claude Enterprise and the native services of Azure, AWS and GCP - selecting the right tool for the workload rather than defaulting to a single vendor. … including accountability for end-to-end solution design, resourcing and commercial outcomes. Proven ability to architect enterprise AI platforms across a mix of technologies (Databricks, Snowflake, Azure, AWS, GCP) with strong design capability across cloud, data and AI domains. Working understanding of how AI integrates with major operational systems such ...

financial services, healthcare, retail, energy, aviation, and the public sector, and partner with some of the world’s leading technology providers, including Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers alongside the solutions we deliver. Through continuous learning, hands-on experience … alongside some of the best technology and specialist capability in the market, including Anthropic Claude, Microsoft Foundry, Copilot Studio, Azure, Databricks and Snowflake. The role requires someone who can move comfortably between a customer boardroom, a whiteboard architecture session and a development environment. Your work will include: Working with customers ...