13 of 13 Databricks Jobs in Glasgow

patternsExposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAIExperience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflowsKnowledge of data governance, lineage, and entitlements concepts in an enterprise environmentJ.P. Morgan ...

governance and controls. Experience with Collibra APIs, workflow development or Edge/Connect integrations. Experience integrating metadata platforms with data platforms such as Snowflake, Databricks, Azure, AWS or Informatica. Knowledge of data mesh, data products or domain-driven design concepts. Data governance, data management or cloud certifications. ...

workflow development, import/export tooling, Edge/Connect integrations or similar integration patterns. Experience integrating Collibra with enterprise data platforms such as Snowflake, Databricks, Azure, AWS, GCP, Informatica or data quality platforms. Knowledge of data mesh, data products, domain-driven design, enterprise data marketplaces and data ingestion pipelines. Data ...

with senior leaders and executivesCommitment to inclusive, collaborative teamworkStrong problem-solving and analytical skillsPreferred qualifications, capabilities, and skillsExperience with modern data platforms such as Databricks or SnowflakeHands-on expertise with Spark/PySpark and big data processing technologiesKnowledge of open-source table formats and catalog services such as Apache IcebergExperience ...

analytical skillsAdaptability in a fast-paced environmentFocus on delivering secure and scalable solutionsPreferred qualifications, capabilities, and skillsExperience with modern data platforms such as Databricks or SnowflakeDeep hands-on experience with Spark/PySpark and other big data processing technologiesExpertise in open-source table formats and catalog services such as Apache ...

candidates with experience across: Cloud data warehousing - experience with Snowflake is highly desirable, but not essential . Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation … Microsoft Azure would also be highly advantageous, particularly: Azure Data Factory Azure SQL Azure Data Lake/ADLS Azure DevOps Microsoft Fabric Azure Databricks Experience with PySpark, Airflow, Dagster, Prefect or other orchestration technologies would also be useful. We're particularly interested in people who have worked with modern data ...

skillsExperience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environmentFamiliarity with Databricks and cloud data-lake patterns using object storage as a core data storeExperience driving remediation of security findings and coordinating coordinated upgrades across frameworks, runtimes ...

realized by automation.Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and proficient applied experienceStrong hands-on data engineering experience with Databricks and AWSHands-on practical experience in system design, application development, testing, and operational stabilityProficiency in coding in PythonSolid understanding of agile methodologies such ...

GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)Experience 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 frameworksFamiliarity with JPM-internal AI/ML infrastructure ...

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 ...

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 ...

maintain cloud infrastructure on AWS using Terraform, including networking, security, compute, storage, and managed services, following infrastructure-as-code best practicesDevelop and manage Databricks platform capabilities — including workspaces, clusters, policies, jobs, libraries, and integrations — to support production-grade data workloadsBuild automation around platform provisioning and operations using Python or Java … services relevant to cloud data platforms, such as VPC, IAM, S3, EC2/ECS/EKS, RDS, KMS, CloudWatch, and load balancingWorking experience with Databricks, including platform administration and/or building and supporting production workloadsProficiency in Python (preferred) or Java, with demonstrated ability to build automation, tooling, and platform ...

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 ...