676 to 700 of 1,890 Databricks Jobs

Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the data landscape in healthcare (EHR, claims data, real world data, HEOR data) Experience in healthcare/pharmaceutical industry Experience in sales and digital marketing analytics More ❯

ago Leeds, England, United Kingdom 1 month ago Senior Recruitment Consultant Life Science Harrogate, England, United Kingdom 2 weeks ago Leeds, England, United Kingdom 4 days ago Solution Architect - Databricks Admin with GCP/AWS Leeds, England, United Kingdom 1 week ago Leeds, England, United Kingdom 4 days ago Leeds, England, United Kingdom 4 days ago Gildersome, England, United Kingdom More ❯

experience with Salesforce Clouds). Deep understanding of Martech Stack with hands on experience with Salesforce Marketing Cloud or similar products. Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning). NOTE : This is an More ❯

adherence to legal standards. Experience in developing and executing customer retention strategies. Understanding of custom web data collectors and stream processing e.g. clickstreams, event hubs, distributed computing. Experience with Databricks, Spark, Hadoop or other big data technologies. Working with unstructured data and defining web data models. A strong understanding of tracking pixels and web tagging principles. Experience with relational or 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 ❯

simultaneously. Strong written and verbal communication skills, with attention to detail and clarity. Preferred Qualifications: Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity 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 ❯

as PySpark. Extensive experience with PyTorch (preferred) and/or TensorFlow. Hands-on experience with deploying machine learning models in production using cloud platforms, especially Microsoft Azure ML/Databricks ML Flow. Experience in integrating CI/CD pipelines for ML models. A proactive, hands-on approach to building, iterating, and owning solutions end-to-end. Strong interest in machine More ❯

external vendors to enhance data management capabilities. Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms, such as Azure SQL databases, Fabric Warehouse and Onelake, Databricks, and Azure Data Factory. Document technical solutions, best practices, and knowledge base articles to facilitate effective knowledge transfer and continuous improvement. Diagnose and resolve data-related incidents and problems escalated More ❯

experience with Salesforce Clouds). Deep understanding of Martech Stack with hands on experience with Salesforce Marketing Cloud or similar products. Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning). NOTE : This is an More ❯

The IPO is a modern organisation which depends on its IT and Data services to operate and innovate effectively. In order to provide up to date services to our customers both nationally and internationally, our systems need to be developed More ❯

Job Description Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below. We have an exciting and rewarding opportunity within the Client Onboarding & Know Your Customer technology More ❯

Senior Data Engineer Newport (x4 per month) £46,262 - £56,996 **Must be eligible for SC Clearance** The Opportunity Yolk Recruitment are excited to be working with an innovation-driven civil service organisation as they journey through an incredible digital More ❯

£46,262 - £56,996 please read allowances on the Civil Service Jobs link Published on Full-time (Permanent) £46,262 - £56,996 please read allowances on the Civil Service Jobs link Published on 26 June 2025 Deadline 6 July 2025 More ❯

Get AI-powered advice on this job and more exclusive features. Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google This range is provided by Xcede. Your actual pay will be More ❯

Lead/Principle Python Engineer for Generative AI Backend Development Join to apply for the Lead/Principle Python Engineer for Generative AI Backend Development role at Trimble Inc. Overview We are seeking a Generative AI Lead/Principal Python More ❯

Data Engineer | Bristol (Hybrid) | £40,000 - £50,000 P.A | Permanent Peaple Talent have partnered with an existing client in Bristol looking to recruit a Data Engineer. The successful candidate will collaborate to build, enhance, and support both data-driven solutions More ❯

Capgemini Invent At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client More ❯

An exciting opportunity has arisen for an experienced Data Solution Architect to become part of the National Data and Analytics (NDA) Platform & Engineering Team.The NDA Platform & Engineering Team is working on providing data to drive the business forward. You'll More ❯

Senior Data Engineer Newport (x4 per month) £46,262 - £56,996 **Must be eligible for SC Clearance** The Opportunity Yolk Recruitment are excited to be working with an innovation-driven civil service organisation as they journey through an incredible digital More ❯

Press Tab to Move to Skip to Content Link Location: London Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse More ❯

Job Description - Data Warehouse Developer About Hiscox: At Hiscox, we care about our people. We hire the best people for the work, and we're committed to diversity and creating a truly inclusive culture, which we believe drives success. We More ❯

Data Pipeline Development: Design and implement end-to-end data pipelines in Azure Databricks, handling ingestion from various data sources, performing complex transformations, and publishing data to Azure Data Lake or other storage services. Write efficient and standardized Spark SQL and PySpark code for data transformations, ensuring data integrity and accuracy across the pipeline. Automate pipeline orchestration using Databricks Workflows … and unstructured data from various sources (APIs, databases, file systems). Implement data transformation logic using Spark, ensuring data is cleaned, transformed, and enriched according to business requirements. Leverage Databricks features such as Delta Lake to manage and track changes to data, enabling better versioning and performance for incremental data loads. Data Publishing & Integration: Publish clean, transformed data to Azure … access control, and metadata management across data assets. Ensure data security best practices, such as encryption at rest and in transit, and role-based access control (RBAC) within Azure Databricks and Azure services. Performance Tuning & Optimization: Optimize Spark jobs for performance by tuning configurations, partitioning data, and caching intermediate results to minimize processing time and resource consumption. Continuously monitor and More ❯

Data Pipeline Development: Design and implement end-to-end data pipelines in Azure Databricks, handling ingestion from various data sources, performing complex transformations, and publishing data to Azure Data Lake or other storage services. Write efficient and standardized Spark SQL and PySpark code for data transformations, ensuring data integrity and accuracy across the pipeline. Automate pipeline orchestration using Databricks Workflows … and unstructured data from various sources (APIs, databases, file systems). Implement data transformation logic using Spark, ensuring data is cleaned, transformed, and enriched according to business requirements. Leverage Databricks features such as Delta Lake to manage and track changes to data, enabling better versioning and performance for incremental data loads. Data Publishing & Integration: Publish clean, transformed data to Azure … access control, and metadata management across data assets. Ensure data security best practices, such as encryption at rest and in transit, and role-based access control (RBAC) within Azure Databricks and Azure services. Performance Tuning & Optimization: Optimize Spark jobs for performance by tuning configurations, partitioning data, and caching intermediate results to minimize processing time and resource consumption. Continuously monitor and More ❯