1 to 25 of 166 Remote Databricks Jobs in the UK excluding London

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

performance tuning, ELT best practices). Proven commercial experience with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to-end data pipeline orchestration. Excellent SQL engineering capability; experience designing data models for analytics and operational reporting. Proven track record in the insurance or wider financial services More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

as Azure Data Factory, Synapse Pipelines, and SQL/T-SQL, ensuring data quality, performance, and reliability. Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks, Azure Data Lake, and Snowflake where appropriate. Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including More ❯

engineering teams to resolve them. Strong analytical mindset and attention to detail. Clear, concise communicator able to present technical findings simply. Desirable: Experience testing in big data environments using Databricks, Snowflake, or Redshift. Knowledge of data governance and lineage tracking tools. Exposure to data performance and load testing. Experience in an Agile delivery environment. More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

example - Computer Science, Mathematics, Engineering or other STEM A strong team player with empathy, humility and dedication to joint success and shared development. Desirable Experience and Qualifications: Experience with Databricks or Delta Lake architecture. Experience building architecture and Data Warehousing within the Microsoft Stack Experience in development Source control (e.g. Bit Bucket, Github) Experience in Low Code Analytical Tools (e.g. More ❯

Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯

technologies in data engineering, and continuously improve your skills and knowledge. Profile The Data Engineer will have mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving and analytical skills, with strong attention More ❯

solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power BI Supporting and evolving data More ❯

solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power BI Supporting and evolving data More ❯

solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power BI Supporting and evolving data More ❯

solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power BI Supporting and evolving data More ❯

solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power BI Supporting and evolving data More ❯

develop a team of Data Engineers to deliver robust, scalable data solutions. Provide technical leadership across the Microsoft and Azure Data Platform (SQL Server, Power BI, Azure Data Factory, Databricks, Data Lake). Champion Data Governance , Data Quality , and Data Management best practices. Collaborate with business and technology teams to align data solutions with strategic goals. Oversee Agile delivery, CI More ❯

Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable More ❯

Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable More ❯

in SQL and Python . Strong grasp of ETL/ELT pipelines , data modeling , and data warehousing . Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and driven More ❯

consumer-facing platforms. Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc). Nice-to-have - SQL, Python, R and modern cloud data environments (e.g., Snowflake, Databricks). WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we More ❯

skills You're comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What's in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯

skills You’re comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What’s in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯

experience in data architecture and modelling (3NF, Kimball, Data Vault). Deep understanding of database design, metadata-driven pipelines, and data integration. Proven experience with Azure Data Services-including Databricks, Data Factory, Azure SQL, and CosmosDB. Expertise in data warehousing, data lakes, and lakehouse architectures. Strong knowledge of MDM, data cataloguing, and data lineage management. Experience across the full technology More ❯

analytical background, including experience with ESRI ArcGIS, Power BI, and FME, Excel. Knowledge of wastewater industry, capability in additional geospatial tools, analytical tools and data management (e.g. Python, SQL, Databricks, Azure Data Factory) will be beneficial. Proven ability to produce detailed management reports. High attention to detail with the ability to understand the wider business context. Strong communication skills and More ❯

Senior Databricks Engineer Location: Banbury or Manchester (Hybrid - 2/3 days in office) Salary: £60,000 - £75,000 per annum Contract: Permanent, Full-Time We're working with a well-established financial services organisation that's growing its data capability - and they're looking for a Senior Databricks E ngineer to join the team. What you'll be doing … As a Senior Databricks Engineer, you'll play a key role in designing, building, and maintaining data pipelines that help the business make better decisions. You'll work closely with the Data Architect and Data Product Manager to turn business requirements into reliable, high-quality data solutions. You'll spend most of your time developing hands-on - but you'll … recommend improvements. Work within an Agile environment using Azure DevOps for CI/CD, version control, and sprint delivery. What we're looking for You'll be an experienced Databricks Engineer who loves solving data problems, writing clean and efficient code, and helping others grow. You'll bring a mix of technical know-how, curiosity, and collaboration to the team. More ❯

Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and More ❯