51 to 75 of 78 Databricks Jobs in Glasgow

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 ...

hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing … Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution ...

excellence. Together, we'll create solutions that make a difference. Job Responsibilities Design 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 … Formal 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 ...

team culture — one built on excellence, collaboration, and continuous improvement. Job responsibilities Develop workflows and extract, load, and transform pipelines using Python and Databricks to support scalable and reliable data solutions Support the review of controls to ensure sufficient protection of enterprise data across the data lifecycle Implement data security ...

modern BI tools to deliver clear findings to non-technical stakeholders. You will build Sigma dashboards, run ad hoc queries with Spark SQL/Databricks, and help size SKU proliferation risk while recommending consolidation strategies. #J-18808-Ljbffr ...

role for you. As a Data Engineering Manager, you will: Lead delivery of cloud-scale data engineering programmes and platform migration initiatives across Azure, Databricks, Microsoft Fabric, Snowflake, AWS and GCP Drive AI-assisted pipeline development as standard engineering practice — setting team norms around the use of GenAI tooling … looking for significant experience in the following: Design and delivery of cloud-scale data engineering solutions across one or more of: Azure, Databricks, Microsoft Fabric, Snowflake, AWS or GCP AI-assisted pipeline development — proven experience using GenAI tooling to accelerate engineering delivery and governing the quality of outputs Data quality ...

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 ...

Senior Data Engineer - AWS Location: Glasgow (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Senior Data Engineer with AWS to ...

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

engineers and platform teams, you’ll define and evolve standards for CI/CD, experiment tracking, model lineage and controlled promotion across environments. Using Databricks, MLflow and Azure ML, you’ll help create scalable, well-governed pipelines that are reproducible, traceable and auditable. You’ll also embed model risk management … high standards across the team. More about you: Strong experience with Azure, including Azure ML, Data Factory and Azure DevOps. Hands‐on experience with Databricks, MLflow and production-grade ML workflows. Experience designing CI/CD pipelines using Azure DevOps, GitHub Actions or similar tools. Advanced Python skills, with knowledge ...

production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. 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 … solid understanding of agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred qualifications, capabilities, and skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Strong working knowledge of both supervised and unsupervised techniques, including tree-based and kernel ...

production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. 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 … solid understanding of agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred qualifications, capabilities, and skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Strong working knowledge of both supervised and unsupervised techniques, including tree-based and kernel ...

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 skills Formal training or certification in software engineering … 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 ...

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 ...

firm Build and operate reliable data pipelines that ingest, transform, validate, and publish metric datasets to power analytics experiences, integrating with platforms such as Databricks as needed Design, build, and maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interface Define and validate … handling, and performance optimization Experience deploying and operating services on cloud or container platforms (e.g., AWS, Kubernetes, or equivalent enterprise platforms) Experience integrating with Databricks to produce curated, dashboard-ready datasets, including layered data product patterns (e.g., bronze/silver/gold or equivalent) with clear contracts and quality controls ...

Sword Group is seeking a Data Engineer in the United Kingdom (Glasgow area) to design, build, and optimize scalable data pipelines using Azure Data Factory, Synapse, Fabric, and Databricks. You will collaborate with clients and ...

will collaborate with agile teams to deliver secure, stable, and scalable data solutions that meet business objectives. The role requires strong Python development, Databricks expertise, and experience with both relational and NoSQL databases, with a focus on data quality and reliability. #J-18808-Ljbffr ...

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 … 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 ...

high-performing, multidisciplinary engineering teams in a consulting or professional services environment Strong understanding of the hyperscaler and data platform ecosystem - Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric - and how these combine to form enterprise AI-ready architectures You should apply if: You don’t need to have done everything … Products, Communications or Health & Public Services Relevant advanced certifications across cloud, data and AI platforms (e.g. AWS Solutions Architect Professional, Azure Solutions Architect Expert, Databricks Certified Professional Data Engineer, Google Professional Cloud Architect) AI platform and engineering certifications (e.g. AWS Machine Learning Specialty, Google Professional ML Engineer, Databricks Generative ...

firm Build and operate reliable data pipelines that ingest, transform, validate, and publish metric datasets to power analytics experiences, integrating with platforms such as Databricks as needed Design, build, and maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interface Define and validate … handling, and performance optimization Experience deploying and operating services on cloud or container platforms (e.g., AWS, Kubernetes, or equivalent enterprise platforms) Experience integrating with Databricks to produce curated, dashboard‐ready datasets, including layered data product patterns (e.g., bronze/silver/gold or equivalent) with clear contracts and quality controls ...

Sigma dashboards to provide Brand Operations with self-serve, ongoing visibility into productivity, profitability, and pricing trends Write and maintain SQL (Spark SQL/Databricks) queries to support both recurring and ad hoc analytics requests within tight reporting cycles Support new item planning by sizing SKU proliferation risk, flagging margin … years of experience in retail/CPG analytics, business intelligence, or brand/marketing analytics Advanced SQL skills (Spark SQL or Databricks experience strongly preferred) with hands-on experience building in a modern BI platform (Sigma, Tableau, or Power BI) Advanced proficiency in Microsoft Excel, including Power Pivot and complex ...

JPMorgan Chase in the United Kingdom is seeking a Lead Software Engineer to design, develop, and maintain scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to turn data into actionable insights that support strategic decisions. You will mentor associates, guide SDLC, ensure ...

secure, scalable data architectures. You’ll collaborate with talented engineers to move data smoothly from source to insight. You’ll develop Python and Databricks workflows, review controls to protect data across the lifecycle, implement entitlements, and refine data models. #J-18808-Ljbffr ...

continuous integration/continuous delivery, application resiliency, and security Demonstrated 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, testing … resiliency and security expectations Preferred qualifications, capabilities, and skills Exposure to cloud technologies such as Amazon Web Services or equivalent cloud platforms Experience with Databricks and agentic AI solutions Familiarity with modern front-end technologies and frameworks Experience working in a large enterprise environment with cross-functional engineering teams #J ...

Manager, you will: Lead delivery of enterprise-scale cloud platform programmes, driving the design and implementation of AI-native infrastructure across Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset — designing for the compute, networking, storage and security requirements of GenAI … looking for significant experience in the following: Design and delivery of enterprise-scale cloud platforms across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Advanced Infrastructure as Code capabilities (Terraform, Bicep, CloudFormation or similar) including AI-assisted IaC generation and governance CI/CD platform design ...