226 to 250 of 778 Databricks Jobs in the UK

leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

published data models and reports. Experience required: Strong background in data engineering, warehousing, and data quality. Proficiency in Microsoft 365, Power BI, and other BI tools Familiarity with Azure Databricks and Delta Lake is desirable. Ability to work autonomously in a dynamic environment and contribute to team performance. Strong communication, influencing skills, and a positive, can-do attitude. Knowledge of More ❯

business impact. What You'll Bring: 8+ years in Data Analytics/Science. Expertise in SQL and dashboarding tools ( Tableau/Qlik ). Familiarity with big data tools ( Snowflake, Databricks ) and ETL . Experience with A/B testing and Python/R is preferred. Contract Details: Location: London, UK Duration: 10 Months Rate: Up to £277 (Umbrella) Ready to More ❯

Technical Design Authority. What We’re Looking For: Proven leadership in data engineering or BI teams. Hands-on experience across the Microsoft Data Platform (SQL Server, Azure, Power BI, Databricks). Strong understanding of data governance, privacy, and compliance frameworks. Expertise in hybrid cloud/on-premise data architectures and DevOps/DataOps practices. Excellent stakeholder engagement and mentoring capabilities. More ❯

Technical Design Authority. What We're Looking For: Proven leadership in data engineering or BI teams. Hands-on experience across the Microsoft Data Platform (SQL Server, Azure, Power BI, Databricks). Strong understanding of data governance, privacy, and compliance frameworks. Expertise in hybrid cloud/on-premise data architectures and DevOps/DataOps practices. Excellent stakeholder engagement and mentoring capabilities. More ❯

Technical Design Authority. What We're Looking For: Proven leadership in data engineering or BI teams. Hands-on experience across the Microsoft Data Platform (SQL Server, Azure, Power BI, Databricks). Strong understanding of data governance, privacy, and compliance frameworks. Expertise in hybrid cloud/on-premise data architectures and DevOps/DataOps practices. Excellent stakeholder engagement and mentoring capabilities. More ❯

and above but all backgrounds considered). Commercial Data Science experiemcn Excellent Python & SQL skills. Strong Machine Learning & Statistical knowledge Ideally LLMS/GenAI experience. Spark and/or Databricks experience would be a lovely bonus. If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to More ❯

best practices. To be successful in this role, you will have: Extensive data architecture experience within a cloud environment Strong data modelling experience Knowledge of Azure Cloud Services including DataBricks, Azure Data Factory and Azure SQL. Experience designing and maintaining data warehouses, lakes and lakehouses. Excellent communication skills, with the ability to influence both technical and non-technical stakeholders. Some More ❯

best practices. To be successful in this role, you will have: Extensive data architecture experience within a cloud environment Strong data modelling experience Knowledge of Azure Cloud Services including DataBricks, Azure Data Factory and Azure SQL. Experience designing and maintaining data warehouses, lakes and lakehouses. Excellent communication skills, with the ability to influence both technical and non-technical stakeholders. Some More ❯

Experience in Data Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. Python or automation is a plus. Knowledge of A/B testing and statistics. Strong communication and storytelling skills to influence diverse audiences. Experience with call More ❯

best practices. To be successful in this role, you will have: Extensive data architecture experience within a cloud environment Strong data modelling experience Knowledge of Azure Cloud Services including DataBricks, Azure Data Factory and Azure SQL. Experience designing and maintaining data warehouses, lakes and lakehouses. Excellent communication skills, with the ability to influence both technical and non-technical stakeholders. Some More ❯

JoJo, Zalando) to align analytics efforts. Required Skills & Experience: 4–5 years of commercial experience in data science , preferably in eCommerce or marketing analytics. Strong hands-on experience with Databricks, SQL, Python, and PySpark ; knowledge of R and dashboarding tools is a plus. Proven experience with causal inference, MMM modelling, and experimentation . Strong analytical and problem-solving skills with More ❯

JoJo, Zalando) to align analytics efforts. Required Skills & Experience: 4–5 years of commercial experience in data science , preferably in eCommerce or marketing analytics. Strong hands-on experience with Databricks, SQL, Python, and PySpark ; knowledge of R and dashboarding tools is a plus. Proven experience with causal inference, MMM modelling, and experimentation . Strong analytical and problem-solving skills with More ❯

best practices. To be successful in this role, you will have: Extensive data architecture experience within a cloud environment Strong data modelling experience Knowledge of Azure Cloud Services including DataBricks, Azure Data Factory and Azure SQL. Experience designing and maintaining data warehouses, lakes and lakehouses. Excellent communication skills, with the ability to influence both technical and non-technical stakeholders. Some More ❯

best practices. To be successful in this role, you will have: Extensive data architecture experience within a cloud environment Strong data modelling experience Knowledge of Azure Cloud Services including DataBricks, Azure Data Factory and Azure SQL. Experience designing and maintaining data warehouses, lakes and lakehouses. Excellent communication skills, with the ability to influence both technical and non-technical stakeholders. Some More ❯

and SQL Hands-on experience with real-world, messy datasets Curious, analytical, and motivated by practical impact Why Join Work with a modern AI/ML stack (Python, SQL, Databricks, cloud-first) Shape intelligent systems used across multiple industries Hybrid working (2 days/week in Nottingham HQ) 30 days holiday + flexible working + strong culture of curiosity and More ❯

JoJo, Zalando) to align analytics efforts. Required Skills & Experience: 4–5 years of commercial experience in data science , preferably in eCommerce or marketing analytics. Strong hands-on experience with Databricks, SQL, Python, and PySpark ; knowledge of R and dashboarding tools is a plus. Proven experience with causal inference, MMM modelling, and experimentation . Strong analytical and problem-solving skills with More ❯

JoJo, Zalando) to align analytics efforts. Required Skills & Experience: 4–5 years of commercial experience in data science , preferably in eCommerce or marketing analytics. Strong hands-on experience with Databricks, SQL, Python, and PySpark ; knowledge of R and dashboarding tools is a plus. Proven experience with causal inference, MMM modelling, and experimentation . Strong analytical and problem-solving skills with More ❯

and deep learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Experience with cloud platforms (GCP, AWS, Azure) and tools like Dataiku and Databricks Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

presentation skills. Ability to anticipate issues, lead resolution, and drive proactive improvement. Desirable Skills Experience with Microsoft Azure data technologies such as: Azure Data Factory, Synapse, Power BI, ADLS, Databricks, Microsoft Fabric Exposure to SAP BI & data platforms such as: HANA, SAP IQ, Business Objects, SAP Analytics Cloud, SAP Data Intelligence Familiarity with enterprise reporting tools (e.g. SSRS) and modern More ❯

presentation skills. Ability to anticipate issues, lead resolution, and drive proactive improvement. Desirable Skills Experience with Microsoft Azure data technologies such as: Azure Data Factory, Synapse, Power BI, ADLS, Databricks, Microsoft Fabric Exposure to SAP BI & data platforms such as: HANA, SAP IQ, Business Objects, SAP Analytics Cloud, SAP Data Intelligence Familiarity with enterprise reporting tools (e.g. SSRS) and modern More ❯

presentation skills. Ability to anticipate issues, lead resolution, and drive proactive improvement. Desirable Skills Experience with Microsoft Azure data technologies such as: Azure Data Factory, Synapse, Power BI, ADLS, Databricks, Microsoft Fabric Exposure to SAP BI & data platforms such as: HANA, SAP IQ, Business Objects, SAP Analytics Cloud, SAP Data Intelligence Familiarity with enterprise reporting tools (e.g. SSRS) and modern More ❯

presentation skills. Ability to anticipate issues, lead resolution, and drive proactive improvement. Desirable Skills Experience with Microsoft Azure data technologies such as: Azure Data Factory, Synapse, Power BI, ADLS, Databricks, Microsoft Fabric Exposure to SAP BI & data platforms such as: HANA, SAP IQ, Business Objects, SAP Analytics Cloud, SAP Data Intelligence Familiarity with enterprise reporting tools (e.g. SSRS) and modern More ❯

or similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯