951 to 975 of 1,074 Databricks Jobs

validate solutions Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive the following ...

modernisation of Supply Chain reporting and analytics capabilities. This role will focus on decommissioning legacy reporting processes and migrating analytical solutions into a modern Databricks-based platform. You will work closely with Supply Chain, Data Engineering and BI teams to develop scalable data products, optimise SQL-based transformations, and enable … experience, including semantic models and reporting solutions Strong stakeholder engagement skills with the ability to translate business needs into technical solutions Experience with Databricks or modern cloud data platforms This is a hands-on role suited to someone who can bridge the gap between Supply Chain stakeholders, SAP data ...

Immuta is trusted by Fortune 500 companies and government agencies worldwide and operates as a hybrid workplace globally.• Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. • Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and BuiltIn … Fast Company as one of the top 50 most innovative companies.• $267 million in total funding. Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures. ...

reduce manual work and improve the user experience for researchers and ML teams.Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platforms.Act as the primary technical contact for stakeholders, translating business and research requirements into effective cloud and platform solutions.Create … data science or MLOps platforms.Knowledge of CI/CD practices and tools used for software and machine learning delivery.Experience working with technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift or comparable platforms.Ability to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiency.Strong stakeholder management and communication skills ...

insights to stakeholders across supply chain, logistics and operational teams. Building and enhancing reporting and visualisations using Power BI. Working with large datasets within Databricks and SQL-based environments. Partnering with stakeholders to understand business challenges and provide data-led recommendations. Translating technical findings into clear and meaningful insights … skills with the ability to interrogate and manipulate large, complex datasets. Experience using Power BI to create impactful reporting and visualisations. Exposure to Databricks or similar modern data platforms. Strong stakeholder management and communication skills. Experience delivering insights within project or transformation environments. Ability to work independently and provide ...

developer experience enablement, with a strong focus on CI/CD transformation (Azure DevOps to GitHub), platform tooling, and data platform integration (Snowflake, Databricks). You will act as a subject matter expert (SME) across DevOps tooling, automation, and platform reliability—driving best practices, standardisation, and self‐service capabilities … Veracode (application security), embedding security controls into pipelines and platform services. Enable and support DevOps practices for core data platforms, including Snowflake and Databricks, covering environment provisioning, CI/CD integration, and access‐control models. Implement observability frameworks, including monitoring, logging, and alerting, and contribute to SRE practices such ...

review meetings, escalating high-risk models and producing governance metrics for risk committees and regulators• Build model governance tooling: integrating MLflow, Azure ML or Databricks with governance workflows, automated testing and regulatory reportingRequired Skills & Experience:• 7+ years of model risk management, quantitative risk or ML engineering experience• Deep understanding … Hands-on Python skills: you can read model code, run validation analyses and build monitoring scripts — not just review documentation• MLflow, Azure ML or Databricks experience for model lifecycle management• Regulatory knowledge in at least one sector: financial services (preferred), healthcare, insurance or utilities• Strong statistical knowledge: model validation methodology ...

consistent ways of working and repeatable approaches Drive adoption of machine learning solutions ensuring sustained client value Build strong relationships with partners such as Databricks Pega and Adobe and contribute to client account growth Line manage team members supporting performance development and wellbeing Contribute to recruitment strategy and scaling … business problems into data modelling and decisioning solutions Strong understanding of modern data science tooling and ecosystems such as Python R SQL MLOps and Databricks Commercial awareness with the ability to identify and shape high value use cases Excellent stakeholder engagement skills including working with senior and C suite clients ...

downstream applicationsDesign data structures for distributed systems including Cassandra, optimising for read/write patterns, scalability, and performanceDeliver cloud-native solutions on AWS, leveraging Databricks, S3, and distributed compute frameworksWork closely with application and engineering teams to understand data access patterns and translate them into scalable platform solutionsProduce ADRs, data … data platforms at scaleProven track record architecting real-time, low-latency streaming platforms and event-driven architecturesStrong hands-on experience with Apache Spark and Databricks, including performance tuning at scaleExperience with Cassandra or similar distributed databases, including partitioning, consistency models, and optimisationSolid experience with OLTP databases such as PostgreSQL ...

team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate with Modelling, Optimisation, and Street Pricing teams to ensure solutions … techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. ...

wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack – coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building – but the firm’s AI strategy is platform‐agnostic. You will be expected to evaluate, learn … time, change failure rate, time to restore), survey‐based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape – coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA ...

business workflows Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful … shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement We’re proud ...

business workflows Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful … shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement We’re proud ...

business workflows Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful … shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement We’re proud ...

business workflows. Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc. Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful … shape pragmatic, future-facing AI solutions. Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives. Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement. We’re proud ...

wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack—coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building— but the firm’s AI strategy is platform‐agnostic. You will be expected to evaluate, learn … time, change failure rate, time to restore), survey‐based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape—coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA ...

essential. Technical Fluency: A strong conceptual mastery of modern data platforms. You do not code, but you understand the architectural implications of AWS (S3), Databricks, dbt, Apache Iceberg, and legacy mainframe/SAS ecosystems well enough to guide technical decision-making. Stakeholder Influence: Proven ability to manage C-suite … teams to migrate ~11,000 tables, 4,400 SAS scripts, and 500 BTEQ scripts, ensuring full alignment with the programme’s «Lakehouse» architecture (AWS, Databricks, Apache Iceberg). Strategic Stakeholder Management: Act as the primary liaison between GlobalLogic’s delivery units and senior Barclays stakeholders. Provide transparent reporting on programme ...

will have:You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Financial services/Insurance segment.You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies … business planYou will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence PlatformYou will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional ...

1514At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform … interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal ...

Join us at Barclays as an Integrated Financial Crime Machine Learning Engineer. You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank. You will work ...

Job Title Lead Manager - Geospatial Location Asda House Employment Type Contract Type Permanent Hours per Week 37.5 Salary Competitive Salary plus benefits Category Market Research Closing Date 27 August 2026 Lead Manager - Geospatial Role Purpose ...

Global Data Governance Manager, Head of Data, Professional Services, Partnership Firm, Regulated Environment, Governance, Compliance, CDO, Central London Global Data Governance Manager/Head of Data required to work for an exciting Professional Services firm ...

Global Data Governance Manager, Head of Data, Professional Services, Partnership Firm, Regulated Environment, Governance, Compliance, CDO, Central London Global Data Governance Manager/Head of Data required to work for an exciting Professional Services firm ...

transformation. The role involves working closely with senior stakeholders to design and deliver scalable data platforms. The ideal candidate will have deep expertise in Databricks and strong client-facing consulting skills. This position offers a flexible remote working model and opportunities for training and certification. #J-18808-Ljbffr ...

transformation. This role involves designing scalable data platforms and engaging with senior stakeholders to deliver technical solutions. The ideal candidate has significant experience with Databricks and consultancy skills, capable of leading engineering teams and delivering high-quality solutions in a remote setting. Join us to work on impactful projects ...