201 to 225 of 2,030 Databricks Jobs in the UK

/ETL, Batch, Streaming, API, Eventing, Pub/Sub Proficiency in SQL, Python, and other coding languages Experience with Azure DevOps, Data Modeling, Lakehouse, Databricks, Azure Cloud Infrastructure and Security Experience with Delta/Iceberg formats, data ingestion patterns, troubleshooting, and data as a product Team management and development experience More ❯

Data Engineer - Insurance Company - Didcot (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We're working in partnership with a forward-thinking insurance company based in Didcot that's heavily investing in data and technology to drive smarter decisions and better outcomes for More ❯

shopping platform Employee assistance programme Career progression with support Onsite parking and excellent transport links About You Expertise in SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python, Power BI Strong data science portfolio demonstrating machine learning and analytics skills Excellent communication skills for diverse audiences and translating business More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

warehouses, Business Intelligence/Management Information, or ML and AI solutions Experience creating large-scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks) Hands-on experience with data engineering in an analytics environment Expertise in data languages such as SQL, Python, and Spark Experience coaching peers in modern More ❯

models, their deployment, and orchestration. Solid understanding of database technologies and modeling techniques, including relational databases and NoSQL databases. Experience with setting and managing Databricks environments. Competent working with Spark. Solid understanding of data warehousing modeling techniques. Experience setting up CI/CD/DevOps pipelines. Experience with cloud platforms More ❯

their deployment and orchestration. A solid understanding of database technologies and modelling techniques, including relational databases and NoSQL databases. Experience with setting and managing Databricks environments. Competent working with Spark. Solid understanding of data warehousing modelling techniques. Competent with setting up CI/CD/DevOps pipelines. Experience with the More ❯

SQL-based production environments (DBA/Data Engineering) Strong SQL/T-SQL skills for dynamic data warehouse processes Expertise in Azure, SSIS, and Databricks Solid understanding of data modelling, integration, and transformation Experience managing CI/CD pipelines and DevOps workflows Strong communication skills and a problem-solving mindset More ❯

or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult More ❯

sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies About the Role We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to More ❯

years of experience in a data analysis role with a commercial/business focus. Proficiency with data analysis tools, especially Power BI, SQL, Databricks, and Azure data platform. Experience working with large datasets and deriving meaningful insights. Ability to translate business and operational requests into actionable analysis, including for non More ❯

sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their More ❯

and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of More ❯

by building and maintaining curated datasets and robust data pipelines. These pipelines support analytics, modeling, and deep learning within platforms such as AWS, Azure Databricks, and Domino Data Lab. Key Responsibilities Develop, deploy, and maintain scalable, cloud-native data pipelines for molecular modeling and related domains. Operationalize architectural blueprints using More ❯

skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate business More ❯

tools like Looker or Power BI. Strong client-facing and communication skills — able to lead conversations with both business and technical stakeholders. Experience with Databricks, Snowflake, AWS, or Azure . Understanding of DataOps, CI/CD pipelines , monitoring, and DevOps culture. Background in consulting or working in client-facing delivery More ❯

collaboration and punctuality. Technical Skills: Knowledge of Python (desirable). Knowledge of Data Lakes & medallion architecture. Experience of data engineering using Microsoft Fabric or Databricks Experience of MS Azure Platform Proficiency in the following technical areas: (Fabric Power BI, SSRS, SSAS, SSIS). Advanced knowledge of SQL. Advanced computer skills More ❯

Security, workspace management), and performance tuning best practices for enterprise BI environments. Integrate Power BI with Azure Data Services (e.g., Azure Synapse, Data Lake, Databricks) and M365 platforms, with familiarity in Power Platform and Microsoft Fabric where applicable. Deliver hands-on workshops, coaching sessions, and enablement programs to enhance customer More ❯

engineering tools (SQL, Python, Spark). Hands-on experience with cloud platforms (Azure, AWS, GCP). Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake). Ability to translate clients' business needs into technical solutions. Ability to attend & contribute to keynote talks & events. Customer engagement and relationship management skills. More ❯