101 to 125 of 210 Remote Databricks Jobs

scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments … workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within More ❯

Ourclientisaprominent,internationalhealthcarebusinesswiththeirHQinBristol.TheyhaveexperiencedsignificantgrowthinrecentyearsthroughM&Aandcurrentlygoingthroughextensivetransformationincludingmodernisationoflegacytechnologyandimplementationofnew. Aspartofthis,weareseeking2SeniorDataEngineerstoworkonexcitingprojectssuchas: MigratingtoDatabricks Onboardingnewdatasources PullingdatafromnewOracleFusionImplementationtonewAzureDatalake BuildingextensionstoLLMs(AI)forarangeofmoderntechnologiesusedwithinthebusinessinternallyandalsotointeractwiththeircustomers Youwilljoinateamexpectedtogrowto20overthecoming6-12months.Theseareseniorroleswhereyoucanaddvalueassoonasyoustart.Youwillhaveexperienceinthefollowing: Databricks Python Pyspark Azure SQLServer(T-SQL) Datawarehousing Theteamworkinaflexibleway.Onaverageyouwillwork1dayaweekinBristolwithsomeweeksmoreforpeakprojectworkandotherweeksnodaysintheofficeatall Thisisapivotalandexcitingtimetojointohelpdelivervitaldatatransformationworkingrightacrossthisbusiness. More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

and planning, through deployment to ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical Insurance Employee Assistance Programme Income More ❯

consulting and enterprise environmentsStrong track record in training and enabling colleagues and clients across the Snowflake ecosystemExperience in design and delivering business solutions on other modern data platforms (e.g. Databricks, Azure, AWS or GCP native stacks)Experience with platform observability and CI/CD for data platformsHands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or More ❯

and backend development experience, with exposure to Blazor, React, or similar frameworks a plus. Hands-on experience with Azure services (Kubernetes, Event Grid, Service Bus, Functions, SQL, Data Factory, Databricks, AML). Experience building high-throughput, high-availability, multi-tenant solutions. Excellent communication and collaboration skills, with the ability to inspire and mentor a hybrid development team. Customer-facing experience More ❯

Key Focus : Lead pre-sales and solution design for banking clients. Engage with C-level stakeholders and shape transformation roadmaps. Architect cloud/data solutions using Azure, AWS, GCP, Databricks, Snowflake. You'll Need : Vast experience in BI/DW/Analytics, including 4+ years in pre-sales. Banking transformation experience (reg reporting, finance/data modernisation). Strong cloud More ❯

Key Focus : Lead pre-sales and solution design for banking clients. Engage with C-level stakeholders and shape transformation roadmaps. Architect cloud/data solutions using Azure, AWS, GCP, Databricks, Snowflake. You'll Need : Vast experience in BI/DW/Analytics, including 4+ years in pre-sales. Banking transformation experience (reg reporting, finance/data modernisation). Strong cloud More ❯

Ideally you can demonstrate experience across - Full data production life cycle Conceptual and logical data designs Data modelling (3NF) Data mining Data Vaults/Kimball methodology Azure Cloud Services - Databricks, ADF, CosmosDB, Azure SQL Data warehouse design, Data lakes/lakehouses Working with both structured and unstructured data is essential Stakeholder engagement across business and data teams Please note this More ❯

cut through complexity. What you bring A solid grounding in investment/financial data (securities, assets, operations experience). Python SQL Cloud: GCP/BigQuery Familiarity with dbt or Databricks Experience to reinsurance or life insurance projects To hear more about the Data Engineer contract opportunity, get in touch with Connor Smyth at Anson McCade on 020 7780 6706. Reference More ❯

performance efficiency Support cloud migration projects, including planning, execution, and post-migration support Implement and manage a range of Azure services such as Azure Virtual Machines, Azure Storage, Azure Databricks, Microsoft Sentinel and more Automate deployment and management processes using Azure Bicep (infrastructure as code) and tools such as Azure CLI and Azure DevOps Monitor and troubleshoot cloud infrastructure to More ❯

drug development and patient care. Key Responsibilities Develop and validate complex analysis datasets from large and diverse data sources Perform statistical analyses and create reports for observational studies using Databricks and SAS Interpret and implement analysis plans in close collaboration with epidemiologists Ensure programming accuracy and compliance by reviewing peer code and outputs Identify and resolve data issues, ensuring robust More ❯

fractional leader, balancing priorities across multiple projects and client engagements. Role Requirements Must have experience: • Data entities • Mastering data • Integration patterns • Data Governance • Data Quality • Hands on experience with Databricks, data lineage, building ETLs, data engineering • Medalion architecture • Background in data engineering • Familiarity with enterprise systems (ERP, CRM, etc.) Preferred experience: • 5+ years in architecture • Data analytics • BI • Data visualization More ❯

and planning, through deployment to ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical Insurance Employee Assistance Program Income More ❯

architecture and enterprise data. Proficient with programming languages (C#, ASP.NET.NET Core, SQL). Demonstrated experience in working with REST APIs. Demonstrated experience in working with Cloud data warehouse like Databricks and Snowflake. Demonstrated experience in working with modern cloud data and DevOps techniques. Strong understanding of Agile methodologies with experience working on Agile delivery teams. Exceptional communication skills with the More ❯

calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards and More ❯

is modelled, consumed, and visualised, while championing best practices in engineering. As a Senior Data Engineer, you'll also act as a mentor. Sharing your knowledge of cloud platforms, Databricks, and modern engineering techniques with junior team members, and influencing the wider data culture. Key Responsibilities: Design and deliver robust data pipelines using Databricks, Azure Data Factory, and Azure SQL. … about solving complex data challenges at scale and has a proven track record of delivering enterprise-level solutions. Essential Skills: 5 years' experience in Data Engineering. Strong expertise in Databricks, Azure Data Factory, Azure SQL, and Azure Synapse/DW. Solid understanding of dimensional modelling (Kimball, Star Schema) and EDW solutions. Experience working with structured and unstructured data. Familiarity with … shape the future of a high-growth retail & e-commerce business through technology and data. Impact at scale - work on a platform supporting millions of customers. Cutting-edge tech - Databricks, Azure, Data Factory, and modern BI tools. Career growth - opportunities to progress, upskill, and influence strategy. Collaborative culture - knowledge sharing, learning, and innovation are encouraged. Hybrid working - enjoy a balance More ❯

leading the engineering team and also input into design and strategy decisions. Initially there will be a focus on GCP but will also involve working extensively with Snowflake and Databricks, as well as other modern cloud and data engineering tools. As the technical leader for the data engineering function, you will define architectural standards, mentor engineers, and collaborate with cross … had essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices and deep technical expertise in GCP, AWS and/or Databricks alongside experience of driving the team and inputting to the overall vision/strategy. Responsibilities Provide technical leadership and mentorship to the data engineering team, driving best practices in architecture … architectures Advanced proficiency in Python (including PySpark) and SQL, with experience building scalable data pipelines and analytics workflows Strong background in cloud-native data infrastructure (e.g., BigQuery, Redshift, Snowflake, Databricks) Demonstrated ability to lead teams, set technical direction, and collaborate effectively across business and technology functions Desirable skills Familiarity with machine learning pipelines and MLOps practices Additional experience with Databricks More ❯

in equal measure. Youll oversee the modernisation of our Azure-based data environment, champion scalable and resilient data pipelines, and drive adoption of tools such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Working across all areas of the IET, youll ensure our data is secure, accessible, and delivering maximum value for analytics, business intelligence, and operational excellence. Youll … about the role Lead and modernise The IETs data architecture, ensuring alignment with best practice and strategic goals. Drive adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Develop and maintain scalable, resilient data pipelines to support analytics and reporting. Stay hands-on in solving technical challenges, implementing solutions, and ensuring the reliability of More ❯

reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. … are some obvious required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building More ❯