326 to 350 of 1,017 Remote Databricks Jobs

reviews and technical meetings, driving improvements in current processes and practices. What do I need? Experience with Azure, including data storage, security, networking, monitoring, and management services. Understanding of Databricks, including engineering methodologies, cost management, scheduling, and data storage. Architecting cloud solutions to support a data-driven business using analytical and visualisation approaches, and knowledge of Data Sharing capabilities with More ❯

AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you if: You've got solid experience working More ❯

skills. The ideal candidate will 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, and data modelling. Expertise in More ❯

to business users Strong understanding of data governance and data quality principles Intermediate experience using SQL, with the ability to query databases to validate data Experience of SAS or DataBricks advantageous Experience of a commercial/insurance environment advantageous Skills and Qualifications Good communication skills, both verbal and written Good time management and organisation skills Strong analytical skills with the More ❯

to business users Strong understanding of data governance and data quality principles Intermediate experience using SQL, with the ability to query databases to validate data Experience of SAS or DataBricks advantageous Experience of a commercial/insurance environment advantageous Skills and Qualifications Good communication skills, both verbal and written Good time management and organisation skills Strong analytical skills with the More ❯

AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you if: You’ve got solid experience working More ❯

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

Ofcom regulations impacting CRM reach Basic coding experience along with self-serve strategy and tool development Understanding of CLV, Churn and Segmentation modelling Technical – Adobe ESP (or SF), Azure, Databricks, Power BI and Google Analytics usage Mobile and/or retail industry experience, including subscription data models At least 5 years CRM experience or 3 years in an Insight role More ❯

or internal clients within large 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. AWS, Azure, Google Cloud) including More ❯

Work closely with cross-functional teams, including marketing, sales, and capability units, to ensure the successful delivery of Insights & Data solutions. Technology Cloud Data Platforms, including AWS, Azure, GCP, Databricks, and Snowflake Data Quality, Data Integration, and Master Data tools, including Informatica. Generative AI technologies, including Open AI, Hugging Face, and Anthropic Your skills and experience Experience in driving business More ❯

Key Knowledge Of Relevant Lloyds Insurance and Reinsurance Finance GAAP Accounting and Actuarial Reserve Lloyds Regulatory Reports Databases (Data Warehouse, T-SQL, SSIS, SQL Server 2019) ETL Process with Databricks Programming languages (e.g. Python) AWS Skills Agile methodologies and Jira preferrable MS Office products (e.g. Access, Excel) Educated to a science-based BSc degree or above with Computer Studies qualifications. More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

experience working in a customer-facing role (IT Support, HelpDesk, Retail, and similar) Experience with AWS, GCP, and Kubernetes Distributed file system Experience with data platforms such as Spark, Databricks, EMR, Snowflake, or BigQuery. Knowledge of JIRA, Github, or Gitlab Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch Nice To Have More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

requirement, and user research to enhance efficiency. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are key. Hands-on experience in databricks, Azure AI stack, or GCP AI stack as well as prompt programming such as DSPy. Locations: Siena, Italy - Rixensart, Belgium - London HQ, UK Please note that relocation support cannot be More ❯

Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their best during the interview. You’ll have the opportunity to let us More ❯

with clear documentation, examples, and tutorials. Participate in the on-call rotation (about 1 week per quarter) to support our production services. Our stack is best summed up by: Databricks, AWS(S3), Python/Typescript, Airflow, dbt, Kafka, Braintrust. Senior Machine Learning Engineer vs Other Roles At Zapier How do we discern between a ML Engineer vs Applied AI Engineer More ❯

Job description We're evoke, one of the world's leading betting and gaming companies. The Group owns and operates internationally renowned brands including William Hill, 888, and Mr Green and we're looking for an experienced (Leeds or London More ❯