14 of 14 Permanent Databricks Jobs in the South West

data science and statistical methods with real data problems. Advanced knowledge in Python or R coding. Significant exposure to data science and business intelligence tools (e.g., Anaconda, Jupyter NB, Databricks, R Studio). Proficiency with visualisation tools (e.g., Power BI, Tableau). Extensive knowledge of SQL and database management (e.g., SSMS, SSAS, SSRS, SSIS). Understanding of the Financial Services More ❯

lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply More ❯

to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks) Excellent stakeholder management and communication skills. Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. And any experience of these would be More ❯

Comfortable working autonomously while contributing as part of a multi-disciplinary team. Desirable: Awareness of UX principles and best practices in dashboard design. Experience with cloud data platforms (e.g. Databricks, Snowflake). A degree in a numerate discipline. What’s on Offer A 10% annual bonus 25 days’ paid holiday plus the option to buy additional days, with extra days More ❯

Experience administering Power BI capacities and managing incident resolution within a Power BI tenant. Essential Technical Skills & Qualifications: Proficiency working within the Azure stack, including Azure Data Factory (ADF), Databricks, and SQL. Expertise in designing intuitive and visually compelling Power BI dashboards and reports. Comfortable using DevOps tools to manage and deploy tasks in an Agile setting. Desirable Experience: Familiarity More ❯

reporting What will you bring... Strong technical analytical skills as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation More ❯

designing and building dashboards in Tableau Strong SQL skills End-to-end experience on analytics projects, from requirements gathering to build and support Experience with cloud data platforms like Databricks or Snowflake What youll get in return for your experience This is a fixed term contract role paying the equating of a £65,000 per annum salary, on a contract More ❯

Analytics Engineer to join our growing data team. In this role, you'll help design and implement scalable, high-performance data infrastructure using the modern data stack, including Azure Databricks , Azure Data Factory , dbt , SQL , Python , and Power BI . You'll act as the bridge between data engineering and analytics-building robust data models, automated pipelines, and self-service … on technical role with real impact. You'll collaborate with engineers, analysts, and stakeholders to deliver clean, trusted, and accessible data. Key Responsibilities: Develop and maintain data pipelines using Databricks and ADF Create dimensional models and transformation workflows using dbt Implement automated data quality checks and monitoring systems Empower business users through self-service analytics using Power BI Document technical More ❯

infrastructure that supports machine learning models in a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams … pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure More ❯

infrastructure that supports machine learning models in a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams … pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure More ❯

monitoring of machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data … a culture of technical excellence and innovation What we're looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management More ❯

monitoring of machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data … a culture of technical excellence and innovation What we're looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management More ❯

to join at the start of the journey and help shape how the platform evolves. The role Build and maintain data pipelines using Azure Data Services (Data Factory, Synapse, Databricks). Work in a newly implemented Fabric environment, with the chance to learn and influence best practice from the outset. Collaborate with analysts and business teams to deliver clean, reliable … data for reporting and insight. Contribute to the design and development of the wider data platform. About you Experience with Azure Data Services (Data Factory, Synapse, Databricks or similar). An interest in or exposure to Microsoft Fabric. Strong SQL skills and experience building data pipelines. Comfortable working with stakeholders to understand requirements and deliver solutions. What’s on offer More ❯

modern data and technology solutions. This will involve providing technical direction, encouraging best-practice, and cultivating a collaborative and supportive team environment. Their tech stack currently spans things like Databricks, Microsoft Azure, Power Platform, Power BI, M365, Co-pilot, and various applications such as Workday. Requirements: Experience guiding data strategy and designing and delivering data and system architectures Experience leading … small high-performing teams in an agile environment Hands-on experience with Azure data technologies and Databricks Strong understanding of data integration, automation, and system design An interest in emerging technologies such as AI Benefits: Salary up to £95,000 depending on experience Annual performance based bonus 25 days annual leave plus bank holidays Private healthcare Life insurance Electric vehicle More ❯