26 to 50 of 356 Databricks Jobs in London

quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to lead and innovate in the field of data science and analytics? Apply now and join a More ❯

quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to lead and innovate in the field of data science and analytics? Apply now and join a More ❯

templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling, processing, and analysing complex, high-volume data from a wide variety of corporate structured and unstructured sources, 3rd party providers and More ❯

templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling, processing, and analysing complex, high-volume data from a wide variety of corporate structured and unstructured sources, 3rd party providers and 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 ❯

Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Excellent communication skills and experience in More ❯

work closely with the leadership team and roll up your sleeves to execute. Your program will drive competitive advantage to our ISV partners, accelerate Databricks' growth and unlock business impact to joint customers. The impact you will have GTM Strategy & Execution : Develop and execute EMEA GTM strategy implementing innovative strategies … that expand our market presence. Sales Programs: Launch sales plays and programs within Databricks, ISVs and our shared ecosystem with an industry-first lens. Launch programs sales plays, partner power plays (with Cloud, SIs and other ISVs). Demand Generation: Work with Sales Dev, Demand Gen, and Marketing to launch … best to work with ISVs and which ISVs to work with for certain industry imperatives and company priorities. Lead Sales workshops between partner and Databricks to unlock new use cases and progress said pipeline. Represent the business: Have the depth to handle discussions on data collaboration, technology partners and built More ❯

As EMEA Senior Legal Counsel you will join the rapidly growing global legal team supporting Databricks' business activities and working on diverse matters including the development of our business across multiple jurisdictions, negotiating commercial contracts, and solving issues relating to security and privacy. You will be agile, highly organized and … privacy process issues to guide the sales team during negotiations, and in many other contexts; Help with standardization of documentation across multiple jurisdictions; Understand Databricks' internal structures, product offerings, technology, security/data protection systems and policies to give you a foundation for providing support across all lines of business … competing demands; You have a strong desire to be part of a dynamic legal team supporting the recognized leader in data and AI. 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 More ❯

Databricks operates at the leading edge of the Data & AI space with a mission to help companies solve the world's toughest problems. As a Digital Native Account Executive reporting to the Sales Manager for the Digital Natives Team, you will be supported by a team of accomplished big data … AI, and industry specialists. Your mission is to promote the use of Databricks across a select group of high-growth startup and cloud-native businesses operating in the UK&I. This position offers ample opportunities for career advancement aligned with our team's rapid growth. Join Databricks to champion Data … expand your leadership skills within a close-knit, high-performance team. Be part of a fast-growing Data & AI leader transforming businesses worldwide. 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 More ❯

work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science capabilities. To be successful in the role, you will need to have extensive experience in data More ❯

Knowledge of Lloyds Insurance and Reinsurance, Finance GAAP, Actuarial Reserves, Regulatory Reports, Databases (Data Warehouse, T-SQL, SSIS, SQL Server 2019), ETL processes with Databricks, Programming languages (e.g., Python), AWS, Agile methodologies, Jira, and MS Office products. Educational background with a BSc degree or higher in a relevant field. What More ❯

demonstrate most or all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

Position: Data Engineer (Python/Databricks) Location: Remote Salary: up to £80,000 + Bens Are you passionate about health tech and innovation? Do you want to be at the forefront of transforming clinical research with cutting-edge technology? If so, we have an exciting new role for you! Join … integrations. Ensure Data Security: Apply protocols and standards to secure clinical data in-motion and at-rest. Shape Data Workflows: Use your expertise with Databricks components such as Delta Lake, Unity Catalog, and ML Flow to ensure our data workflows are efficient, secure, and reliable. Key Responsibilities Data Engineering with … Databricks: Utilize Databricks to design and maintain scalable data infrastructure. Integration with Azure Data Factory: Leverage Azure Data Factory for orchestrating and automating data movement and transformation. Python Development: Write clean, efficient code in Python (3.x), using frameworks like FastAPI and Pydantic. Database Management: Design and manage relational schemas and More ❯

external data integrations.Ensure Data Security: Apply protocols and standards to secure clinical data in-motion and at-rest.Shape Data Workflows: Use your expertise with Databricks components such as Delta Lake, Unity Catalog, and ML Flow to ensure our data workflows are efficient, secure, and reliable.Key Responsibilities Data Engineering with Databricks … Utilize Databricks to design and maintain scalable data infrastructure.Integration with Azure Data Factory: Leverage Azure Data Factory for orchestrating and automating data movement and transformation.Python Development: Write clean, efficient code in Python (3.x), using frameworks like FastAPI and Pydantic.Database Management: Design and manage relational schemas and databases, with a strong …/ELT Processes: Develop and optimize data models, ETL/ELT processes, and data lakes to support data analytics and machine learning.Requirements Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow.Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration.Clinical Data More ❯

integrity, security, and accessibility. Key Skills & Experience: Strong programming skills in Python (PySpark). Hands-on experience with Azure Data Services (Azure Data Factory, Databricks, Synapse, Data Lakes, etc.). Experience with CI/CD pipelines for release management. Knowledge of best practices in data ingestion, transformation, and curation (Dimensional More ❯

with the expectation of 2-3 days/week onsite as the standard. Must Haves: Data Engineering/PowerBI experience Strong competence with Azure Databricks, SQL, Python, PowerBI, DAX Proven experience leading the design of data models, transformation logic, and build of all Power BI dashboards - including testing, optimization & integration More ❯

with the expectation of 2-3 days/week onsite as the standard. Must Haves: Data Engineering/PowerBI experience Strong competence with Azure Databricks, SQL, Python, PowerBI, DAX Proven experience leading the design of data models, transformation logic, and build of all Power BI dashboards - including testing, optimization & integration More ❯

web and mobile app development, SQL, ETL or data pipelines, and data analysis. You have experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. You have experience with AWS, GCP, and/or Azure cloud services. You have strong technical skills and experience with More ❯

in a data engineering or data science capacity, ideally within a cloud-based setup. Solid grasp of SQL, ETL workflows, data modelling principles, and Databricks development. Familiarity with DevOps tooling such as Git, CI/CD pipelines, and Azure DevOps. Confident in working with programming languages like SQL and Python More ❯

in a data engineering or data science capacity, ideally within a cloud-based setup. Solid grasp of SQL, ETL workflows, data modelling principles, and Databricks development. Familiarity with DevOps tooling such as Git, CI/CD pipelines, and Azure DevOps. Confident in working with programming languages like SQL and Python More ❯

have expertise in some of the following: Python, SQL, Scala, and Java for data engineering. Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Proficient in data modelling (relational, NoSQL, dimensional) and DevOps automation (Docker, Kubernetes, Terraform, CI/CD). More ❯

teams spread globally. What we value These skills will help you succeed in this role: Full stack cloud developer skills: Data (Delta Lake/Databricks), PL/SQL, Java/J2EE, React, CI/CD pipeline, and release management. Strong experience in Python, Scala/PySpark, PERL/scripting. Experience More ❯

and SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge is more important). Familiarity with latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code More ❯

able to prioritise across several projects and to lead and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation More ❯