326 to 350 of 516 Remote/Hybrid Databricks Jobs

requires minimum one day per week in Cambridge, with on-site time as needed. You will work across AWS, Python/TypeScript stacks, and Databricks data lake, shaping AI-native engineering practices to deliver reliable products that #J-18808-Ljbffr ...

certification processes Knowledge of data stewardship and governance processes, including the difference between data stewards and data custodians Technology: We use and promote Azure Databricks, Azure APIM and Redis caches (for performance). Note: This role requires SC clearance. The additional vetting may take longer than a standard onboarding process. ...

strong knowledge of AWS You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Python Software Engineer (Machine Learning ...

quickly. Excellent written and verbal communication in English. Nice to have Experience with complex systems running on Azure/AWS Experience with projects using Databricks Benefits Remote-first working with flexibility around client needs. Private Medical Insurance. Projects with global brands & public sector leaders, working on real-world impact. ...

learning and statistical modelling. The wider team works with cloud-based data and ML infrastructure, including Google Cloud Platform (GCP). Experience with GCP, Databricks or similar environments would be useful. You”ll be joining a small, specialist team within an established but growing technology business. Theres plenty of scope ...

learning and statistical modelling. The wider team works with cloud-based data and ML infrastructure, including Google Cloud Platform (GCP). Experience with GCP, Databricks or similar environments would be useful. You”ll be joining a small, specialist team within an established but growing technology business. Theres plenty of scope ...

with monitoring and observability tools (Grafana, Splunk) and diagnostics platforms (New Relic, Dynatrace). Understanding of containerisation technologies (Docker, Kubernetes) and big data platforms (Databricks). Ability to analyse complex performance issues and provide actionable recommendations. Strong scripting skills (e.g., Python, JavaScript) for test automation and data analysis. Knowledge ...

Nice to Haves Direct experience selling customer data platforms, data integration, developer tools, cloud infrastructure, or AI infrastructure. Familiarity with technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, dbt, or related modern data platforms. Experience selling infrastructure or consumption‐based software. Prior experience at a company navigating a major product ...

product roadmap. Qualifications & Experience ITIL Foundation in Service Management would be an advantage Knowledge of Operational Systems Working knowledge of SQL/Databricks or other database query language API experience would be an advantage High problem solving ability Strong communication and presentation skills Proactive and forward thinking Veolia recognises ...

mentoring, coaching and growing technical talent. Sound judgement, curiosity and a willingness to challenge assumptions when better solutions exist. Nice to have Experience with Databricks or similar analytics platforms. Experience with HTML, JavaScript or related technologies. Previous experience in a scaling technology, analytics or science-led business. Experience leading teams ...

following: digital twins, predictive modeling, document generation, multi‐agent orchestration & automation, Physical AI. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Experience hiring, mentoring, and developing senior engineering talent. Track record of representing engineering functions to senior business stakeholders. ...

Project Management team, working across a modern MarTech ecosystem — including donation and e-commerce platforms (Fundraise Up, Springboard), our website (Drupal), Salesforce CRM, Databricks, email marketing (Pardot), and SMS platforms (Mobile Commons, Mogli). You'll own the delivery of enhancements, integrations, and new capability launches that keep ...

Experience reporting security and risk to executive leadership and a Board. Preferred Master's degree. Financial services, fintech or consumer lending experience. AWS and Databricks security at production scale, including securing a migration from on-premises infrastructure. Agentic AI in production: agent identity, governed tool access such as Model Context ...

shaping how data engineering operates across the organisation.Databricks sits at the heart of our platform - this role requires someone who can deeply leverage the Databricks to enable scalable analytics, data science, and AI use cases across the business.As part of this you’ll:Define and enforce data engineering standards, patterns … best practices across the organisation.Architect and deliver scalable, resilient data solutions across Azure, AWS, and Databricks, ensuring enterprise-grade performance and reliability.Lead complex engineering workstreams - unblocking teams, guiding technical decisions, and ensuring high-quality delivery outcomes.Design and govern enterprise data models (conceptual, logical, and physical), including lakehouse zone strategies ...

Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they … architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern ...

RoleHowden Group Services is expanding its internal data engineering capability and is looking for an experienced Senior Data Engineer with strong expertise in Databricks and Azure data services. The ideal candidate will have a proven track record of designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion … metadata ingestion frameworks and orchestration processes.Design and implement scalable and reusable metadata-driven services to optimise data pipelines.Build and maintain robust data solutions using Databricks and Azure services (such as Autoloader, Spark Declarative Pipelines, Azure Data Factory (ADF), Azure Functions, and Azure Data Lake Storage (ADLS)).Apply and help embed ...

Role Howden Group Services is expanding its internal data engineering capability and is looking for an experienced Senior Data Engineer with strong expertise in Databricks and Azure data services. The ideal candidate will have a proven track record of designing and delivering scalable, metadata-driven data solutions, particularly in metadata … frameworks and orchestration processes. Design and implement scalable and reusable metadata-driven services to optimise data pipelines. Build and maintain robust data solutions using Databricks and Azure services (such as Autoloader, Spark Declarative Pipelines, Azure Data Factory (ADF), Azure Functions, and Azure Data Lake Storage (ADLS)). Apply and help ...

consumers and customers, and direct revenue where the data itself is the product. Data Engineering is the foundation all of that runs on. Databricks on AWS is our single foundation, with dbt for modelling, Fivetran for SaaS sources and AWS services for internal sources. Our ingestion and export patterns grew … building and running production data pipelines that other teams and customers depend on. Strong Python and SQL. Deep experience with a modern lakehouse, ideally Databricks and Unity Catalog, and with dbt. Comfortable on AWS and with infrastructure as code (Terraform). Strong grounding in ingestion and integration patterns: managed connectors ...

versioning and rollback strategies Applying data warehousing principles across operational and analytical workloads Helping shape the future data platform as modern technologies such as Databricks and Snowflake are introduced Working closely with backend and frontend engineers to deliver end‐to‐end solutions Documenting architecture, data flows and key design decisions … methodologies, including Kimball and Inmon Experience with Git, Jira and Agile development environments Desirable Experience Exposure to any of the following would be beneficial: Databricks or Snowflake AWS or other cloud environments Airflow or AWS Glue SSIS/SSRS Financial markets or financial data FinTech, SaaS, credit or data analytics ...

simpler analytical or process solution is more appropriate. Prototyping and feasibility Personally build working proofs of concept using tools such as SQL, Python, Databricks, Power BI, AI tooling, and appropriate low-code platforms. Explore and profile data to understand quality, coverage, structure, limitations, and suitability for the intended use case. … problems and converting them into practical, evidence-based solutions. Hands-on ability to interrogate data and build working prototypes using several of SQL, Python, Databricks, Power BI, AI tooling, or low-code tools. Experience undertaking product discovery, defining user needs, setting product outcomes, prioritising work, and collaborating with engineering teams. ...

type: Permanent/Full-time Sector and subsector: IT | Data Engineer Salary: Competitive salary Platform Architecture & Engineering responsibilities: Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers … data governance (Unity Catalog), and access controls Define environment strategies (dev/test/prod), CI/CD pipelines, and release processes for Databricks deployments Implement monitoring, logging, cost optimisation, and performance tuning across the platform Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows ...

architectures and take ownership from data foundations through to AI-driven outcomes. You will work within the Data Platforms team, at the forefront of Databricks Lakehouse, Azure AI, and emerging agentic frameworks, helping clients modernise and transform their data and AI capabilities. PLEASE NOTE:Security Clearence: To be successfully appointed … about your citizenship in the application process. The Focus Of Your Role You will shape next-generation data and AI platforms by combining deep Databricks expertise with modern engineering practices. Using tools such as VS Code and AI-assisted development, you will rapidly design, build, and scale enterprise solutions while ...

Cleared Databricks Architect | Remote SR2 is supporting a major public sector data transformation programme seeking experienced Databricks Architects. We're interested in architects with strengths in platform design, data product architecture, or both. The Role You'll help shape an enterprise Databricks environment on AWS, supporting secure platform foundations … platform infrastructure and integration through to data modelling, product standards and self-service analytics. Key Responsibilities Define architecture, reference designs and reusable patterns for Databricks platforms and data products. Shape AWS platform foundations, integration approaches and processing patterns for batch and streaming workloads. Establish standards for data modelling, data contracts ...

logging, and alerting with Azure Monitor, Log Analytics, and Application Insights Cost management and FinOps practices - keeping cloud spend under control without hamstringing teams Databricks & Data Platform (30%) Deploy and configure Azure Databricks workspaces with Unity Catalog for data governance Assisting both data and AI teams with pipeline development Establish … Databricks best practices: cluster policies, job scheduling, notebook standards, workspace organization Integrate Databricks with ADLS Gen2, Azure SQL, Synapse, and other data services Set up and maintain CI/CD for Databricks notebooks, jobs, and infrastructure Work with data engineers on performance optimization, cost control, and platform capabilities MLOps ...

Industrial Placement in Swindon, focused on Data & Functions Technology Delivery. You'll gain hands-on experience across data, analytics and technology delivery, working with Databricks, MS SQL, Azure and SAS. You'll learn through induction, project work, mentoring and collaborative workshops, with a hybrid working pattern and opportunities to apply ...