76 to 100 of 559 Databricks Jobs in England

techniques-including conceptual, logical, and physical modelling Strong expertise in Kimball methodology and dimensional modelling (e.g. star schema design) Experience with modern cloud data platforms, ideally including Microsoft Azure, Databricks, and associated tools (e.g., Azure Data Factory, Azure SQL, Synapse) Familiarity with modern data engineering practices including the use of automated data pipelines, ETL/ELT processes, and DevOps for More ❯

in data science with a strong track record in predictive modelling, correlations, and trend analysis. Hands-on expertise in the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills, plus experience building and deploying supervised and unsupervised models. Strong statistical knowledge, especially in benchmarking techniques and data normalization. Experience translating complex More ❯

experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes with excellent benefits to support your well-being and career growth. KEYWORDS Principal Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On More ❯

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. Experience developing Python APIs using tools such as FastAPI. Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools. Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation. Familiar with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). More ❯

languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered a real plus. Proven understanding of data science methods for analyzing and making sense of research data More ❯

SKILLS) Bachelor's or Master's degree in Computer Science, Engineering, or relevant experience hands-on with data engineering Strong hands-on knowledge of data platforms and tools, including Databricks, Spark, and SQL Experience designing and implementing data pipelines and ETL processes Good knowledge of ML ops principles and best practices to deploy, monitor and maintain machine learning models in More ❯

analytical background, including Excel, MS Access, SQL, Power BI, ArcGIS Online, and FME. Knowledge and capability in a wide variety of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote sensing technologies and water quality monitoring equipment is desirable. Experience More ❯

e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data relationships and querying More ❯

with SQL and large-scale datasets Excellent communication skills and ability to present complex ideas to non-technical stakeholders Experience with cloud platforms (AWS, GCP, Azure) and tools like Databricks, Snowflake, or BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience More ❯

Lead the troubleshooting of Production systems incidents in working hours and out of hours on a best endeavours basis. Skills/Qualifications Essential Skills Strong working knowledge of Azure Databricks/Spark (using Python and associated frameworks) Privacera and SQL Strong working knowledge of Azure Data Lake and Blob storage Strong experience of building data reporting and visualisations using PowerBI More ❯

production environments Demonstrated ability to translate ambiguous business problems into scalable, production-ready data science solutions Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools such as Databricks, Snowflake, and BigQuery Exceptional communication and stakeholder management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving More ❯

role. Experience with Agile/Scrum Framework. Excellent problem-solving and analytical skills. Excellent communication skills, both at a deep technical level and stakeholder level. Data Expert experience with Databricks (PySpark). Experience building and maintaining complex ETL Projects, end-to-end (ingestion, processing, storage). Expert knowledge and experience with data modelling, data access, and data storage techniques. Experience More ❯

of outdated systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including More ❯

managed retirement of outdated systemsensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutionsdesigning, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPTwhile enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including BlackRock More ❯

of outdated systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including More ❯

platforms. SQL: Advanced proficiency in writing complex queries and optimizing performance. Python: Experience in data manipulation and scripting. Cloud Platforms: Hands-on experience with cloud data warehouses like Snowflake, Databricks, or BigQuery. OLAP, click stream, real time event processing databases. On prem data warehouse experience is valuable. Data Modeling: Expertise in designing and implementing data models for analytics. Data orchestration More ❯

Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Greenfield Account Executives, you will be measured by achieving your team's target to activate new accounts and grow Databricks consumption. You will be expected to be hands-on with your … IT stakeholders including C suite Knowledge of the partner ecosystem to help grow enhance approaches to territories Success implementing strategies for consumption and commitment-based sales revenue models About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data … Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯

SLSQ226R46 Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world's toughest problems. Reporting to the Senior Director, Sales, your mission will be to acquire new customers for Databricks in the Nordic region. As a Greenfield Account Executive, you will be an energetic salesperson passionate about prospecting and closing … days. Implement prospecting campaigns to discover new opportunities in partnership with your Business Development Representative. Guiding customers through their first decision and their early successes driving outcomes with the Databricks Platform Driving accelerated quarter-over-quarter growth in a consumption sales model Work with system integrators, ISVs and cloud partners to help customers build an excellent data and AI strategy … at Databricks. Experience in a consumption-based model Proven ability to sell value, build champions and work with a partner ecosystem. Fluency in English and Swedish language required About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data More ❯

We are looking for an RVP, Enterprise Sales for UK&I to join our world-class hyper-growth organisation, to report into the Managing Director of Databricks UK&I. You will define the go to market strategy, business plan and cohesive sales strategy for our Vertical Markets team in order to meet annual business segment goals and KPIs. You will … of Value (POV) Understanding of how to attain and consistently overachieve quota through accountability and cross leadership partnering Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data … Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯

you'll need to succeed Great experience as a Data Engineer and strong recent Financial Services or Insurance experience - working in regulated environments. You must be an expert with Databricks - Databricks certification (desirable). Experience with architecting and engineering Databricks solutions from scratch. Strong experience with Python or Spark Expertise with modern data pipelines and running into production. Fantastic communication More ❯

you'll need to succeed Great experience as a Data Engineer and strong recent Financial Services or Insurance experience - working in regulated environments. You must be an expert with Databricks - Databricks certification (desirable). Experience with architecting and engineering Databricks solutions from scratch. Strong experience with Python or Spark Expertise with modern data pipelines and running into production. Fantastic communication More ❯

Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Hunter Emerging Enterprise & Digital Native Account Executives, you will be measured by achieving your team's overall quota and acquiring new logos for Databricks. You will be expected to land new … strategic logos, drive key initiatives to expedite Databricks market penetration in this key area, whilst delivering accurate sales forecasting and reporting. As a senior leader in the UKI region, you will be responsible for defining the sales strategy and sponsoring cross-functional initiatives. This is a fantastic opportunity to build upon a highly talented team building partnerships with new customers … and commitment-based sales revenue models Enthusiasm for the customer acquisition phase of the customer lifecycle and a willingness to try new approaches/disrupt the status quo About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data More ❯

internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in insurance MI or reporting—experience within an MGA or insurance carrier is essential. A sharp analytical mind with the ability to work quickly, efficiently More ❯

/CD, and cloud infrastructure management Identify opportunities to improve processes, systems, and data quality across the business Requirements: Strong experience in SQL, Python, Spark, and cloud infrastructure (AWS, Databricks preferred) Hands-on experience building production data pipelines, coding transformations (e.g., dbt), and implementing data quality controls Familiarity with version control (Git), CI/CD concepts, and BI tools (e.g. More ❯

DevOps for version control and deployment Confident presenting to stakeholders and running end-user training sessions Passion for clean design and data storytelling Any exposure to Microsoft Fabric or Databricks is a bonus More ❯