26 to 45 of 45 Databricks Jobs in Lanarkshire

data quality, or analytics transformation programsStrong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguingDemonstrated experience using enterprise-authorized AI capabilities within ...

data quality, or analytics transformation programsStrong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguingExcellent communication skills with the ability to convey complex ...

Developer - Professional, or similar)Experience building or deploying an ML or LLM-powered application (academic, internship, or professional)Exposure to financial services technologyFamiliarity with Databricks, Kubernetes, or comparable ML/cloud platformsFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidatesJ.P. Morgan is a global leader ...

learningPractical experience with CI/CD, containerization, and cloud-native deployment patternsExperience within financial services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksJ.P. Morgan is a global leader in financial ...

other enterprise data catalogue platformsExperience with master and reference data management tools (e.g. Ataccama, Profisee – desirable)Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BIExcellent communication, stakeholder management and influencing skillsExperience delivering solution‐level data architecture across complex projects and programmesExperience producing data impact assessments, guidance ...

using Java/Scala on large-scale datasetsDesign and build AI-enabled applications, including AI Agents and agentic workflowsWork across hybrid data ecosystems (AWS, Databricks, Kubernetes)Ensure code quality through unit testing, integration testing, and continuous validation practicesCollaborate with cross-functional teams to deliver end-to-end solutions aligned with ...

make delivery smarter, with a willingness to learn and experimentPreferred Skills: Exposure to AI tools and/or data platforms such as Databricks or Power BI, and comfortable adopting new software quickly — curiosity and willingness to learn matters more than specific tool experienceBachelor's Degree in Engineering, Business, Mathematics ...

machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks or Azure.You can build repeatable, scalable and reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs ...

developer agents and workflow orchestrationPreferred QualificationsBackground in financial services, derivatives pricing, market data, or valuation conceptsExperience with distributed compute or job scheduling systemsFamiliarity with Databricks, Delta Lake, or similar analytics platformsKnowledge of reactive or event-driven programmingJ.P. Morgan is a global leader in financial services, providing strategic advice and products ...

operational excellence. Together, we'll create solutions that make a difference.Job ResponsibilitiesDesign and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs.Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions.Drive root cause analysis … capabilities, and skillsFormal training or certification on data engineering concepts and advanced applied experience.Hands-on experience developing and maintaining data pipelines using Python.Proficiency with Databricks for large-scale data processing and analytics.Experience working with both relational and NoSQL databases.Proficiency across the full data lifecycle, including ingestion, transformation, storage, and access.Experience ...

help shape our team culture — one built on excellence, collaboration, and continuous improvement.Job responsibilitiesDevelop workflows and extract, load, and transform pipelines using Python and Databricks to support scalable and reliable data solutionsSupport the review of controls to ensure sufficient protection of enterprise data across the data lifecycleImplement data security using ...

opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams.Drives reuse-first adoption of enterprise-authorized AI capabilities within … reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes.Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST.Experience with monitoring tools, automation frameworks, and CI/CD pipelines.Proficient in Python application program development with ...

eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams. Drives reuse-first adoption of enterprise-authorized AI capabilities within … reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application ...

hands-on leadership role where you'll shape data engineering standards, design scalable lakehouse architectures, and drive innovation across Azure, Microsoft Fabric and Databricks environments. You'll work closely with data scientists, architects and engineering teams to deliver robust, secure, and high-performing data solutions while acting as the technical … authority for data engineering best practice. Key Skills: Extensive Azure Data Engineering experience Microsoft Fabric, Azure Data Lake & Databricks Python, SQL and modern data pipeline development Azure DevOps & CI/CD Data governance, security and quality assurance Strong stakeholder engagement and technical leadership Desirable: Spark, Terraform/Bicep, streaming/ ...

internal teams to assess architectural designs, technical capabilities, and fit within existing systems and information architecture.Build scalable feature engineering and data pipelines on Databricks using data lake sources, leveraging Spark/Delta and Databricks workflows/jobs.Required qualifications, capabilities, and skillsFormal training or certification in software engineering concepts with applied … CERT, and testing environments.Database experience with PostgreSQL (including RDS/Aurora) and MongoDB; ability to write automation/operations scripts in Python and Bash. Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning; familiarity with GraphQL.Provide technical support during software development, including debugging environment-specific issues ...

annuities propositions, and providing collective fund solutions to third party customers. Job Purpose We are looking for a Platform Engineer with hands-on Azure, Databricks, and IaC experience, to support our transformation and the future growth of the Canada Life UK business. We are on a journey of simplifying … welcome. This role would suit someone with a background in platform engineering, cloud infrastructure, DevOps, or enterprise data platform support, particularly where Azure, Databricks, Azure Data Factory automation (or equivalent technology), and operational governance are central to the work. This is not a narrow support role or a generic cloud ...

work across others as needed Experience with cloud platforms (preferably AWS) and working knowledge of both relational and distributed data platforms (e.g., Oracle, Databricks) Advanced understanding of agile methodologies, CI/CD pipelines, application resiliency, and secure software development practices Proficient in all aspects of the Software Development Life Cycle … PySpark or similar frameworks, including performance tuning and troubleshooting of large-scale data pipelines In-depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with hands-on experience in query optimization, PL/SQL, and shell scripting in a cloud-native AWS environment Demonstrated ability to lead or contribute ...

aptitude to work across others as neededExperience with cloud platforms (preferably AWS) and working knowledge of both relational and distributed data platforms (e.g., Oracle, Databricks)Advanced understanding of agile methodologies, CI/CD pipelines, application resiliency, and secure software development practicesProficient in all aspects of the Software Development Life Cycle … using PySpark or similar frameworks, including performance tuning and troubleshooting of large-scale data pipelinesIn-depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with hands-on experience in query optimization, PL/SQL, and shell scripting in a cloud-native AWS environmentDemonstrated ability to lead or contribute ...

systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost.Hands-on experience using enterprise-authorized AI-assisted software development tools within … Life Cycle, and a solid understanding of agile delivery practices including CI/CD, Application Resiliency, and Security.Preferred qualifications, capabilities, and skillsProduction experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow.Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human ...

such as continuous integration/continuous delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding … resiliency and security expectationsPreferred qualifications, capabilities, and skillsFamiliarity with modern front-end technologies and evolving user interface frameworksExposure to cloud technologies including AWS, Databricks, and agentic AI solutionsKnowledge of industry-wide technology trends and best practices across disciplines such as artificial intelligence, machine learning, and mobile developmentJ.P. Morgan ...