1 to 25 of 92 Databricks Jobs in the North of England

with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application development Knowledge of modern data platform technologies such as Quantexa, Palantir, or Databricks Proficiency with open-source data tools and frameworks Experience with test automation within CI/CD pipelines Reference: AMC/RHU/LDE #ryhu More ❯

to architectural decisions, and support the migration of reporting services to Azure. Key Responsibilities: Design, build, and maintain ETL pipelines using Azure Data Factory , Azure Data Lake , Synapse , and Databricks . Design and build a greenfield Azure data platform to support business-critical data needs. Collaborate with stakeholders across the organization to gather and define data requirements. Assist in the More ❯

the ability to influence at both technical and senior stakeholder levels. Desirable Skills: Familiarity with data visualisation tools (e.g., Power BI, Tableau). Exposure to platforms such as Quantexa, Databricks, or Palantir. Experience building machine learning pipelines or working on data science applications. Knowledge of test automation and CI/CD for data workflows. This is a unique opportunity to More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

with CI/CD pipelines and modern software engineering practices. Power BI knowledge is required (with more focus on the backend integration than dashboarding). Nice to haves: Azure Databricks Microsoft Fabric Experience migrating from on-prem SQL/SSIS to cloud-based solutions Experience in maintaining and optimizing enterprise data warehouses If this role sounds like your next career More ❯

/Cyber Essentials, NIST, or similar frameworks) Understanding of cloud cost optimisation and FinOps practices Familiarity with supporting data/AI pipelines or platform integrations (e.g., Azure Data Factory, Databricks, OpenAI) Exposure to other cloud environments (AWS, Google Cloud) Behaviours Proactive problem-solver who balances pragmatism with long-term maintainability Comfortable owning delivery, making trade-offs, and asking the "so More ❯

Strong DAX skills and the ability to write/optimise complex T-SQL queries. • Experience in applying AI tools to enhance analytics or business operations (desirable). • Familiarity with Databricks, and predictive analytics is beneficial. • Experience with Python for forecasting or scenario modelling. • Experience in insurance or financial services is an advantage. • Excellent analytical and problem-solving capabilities. • Strong communication More ❯

share best practice. Within the teams we recognise individual skillsets and encourage knowledge sharing sessions and self-development. About You Experience with finance/financial systems and concepts Azure Databricks Azure Data Factory Excellent SQL skills Good Python/Spark/pyspark skills Experience of Kimball Methodology and star schemas (dimensional model). Experience of working with enterprise data warehouse More ❯

Key Experience Required: Proven experience as a Data Solution Architect on complex, multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data More ❯

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 ❯

large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to evaluate More ❯

large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to evaluate 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 ❯

managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed More ❯

be recognised as the winner of the 2024 Microsoft Community Response Partner of the Year award, reflecting our dedication to using technology for positive change. We are also a Databricks partner, and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics. Our company culture and people are at the heart of our business. We invest in our employees More ❯

Proven ability to interpret complex business requirements and translate them into scalable technical solutions Solid hands-on experience working with Python for data handling, transformation, or orchestration Familiarity with Databricks, preferably in an Azure environment Excellent communication and collaboration skills-you're approachable, professional, and confident engaging with both technical and non-technical stakeholders Strong self-management-able to juggle More ❯

need: Significant experience of working with complex data sets and using data analysis models Have a working knowledge of SQL data analysis , or willing to learn, (MS-SQL/Databricks - T-SQL, View and table design) Significant experience of using IT systems including Excel, Power BI and Python Strong technical analytical skills as a Data Analyst Managing and manipulating data More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

Active Directory Azure Monitor and Azure Security Center In-depth knowledge of Azure AI Foundry and its components, including: Azure Cognitive Services Azure Machine Learning Azure Bot Service Azure Databricks Proficiency in Power Automate for creating and managing automated workflows Strong programming skills in languages such as Python, C#, or JavaScript This role is based in Manchester and will allow More ❯

BI Proven track record managing secure, high-performance database environments A genuine passion for continuous learning and staying ahead of industry innovation Experience with Azure Synapse/Sharedo/Databricks (nice to have) Python (nice to have) Ready to Take the Next Step? If you're a Senior Database Developer who's ready to elevate your career APPLY NOW or More ❯

insights via tools like Power BI or Tableau Support integration testing and third-party specifications What you'll bring: Strong background in data architecture and cloud platforms (e.g. Snowflake, Databricks) Cloud experience with AWS, Azure or GCP Excellent SQL and data modelling skills (data lakes, warehousing, OLTP/OLAP) Experience with access control, data migration and data governance Proficient in More ❯

genuinely keen to keep learning new stuff and stay ahead of what's coming next in the industry Bonus points if you've worked with Azure Synapse, Sharedo or Databricks Python skills would be handy but not essential Ready to Take the Next Step? If you're a Database Developer who's ready to elevate your career APPLY NOW or More ❯

performance efficiency. Support cloud migration projects, including planning, execution, and post-migration support. Implement and manage a range of Azure services such as Azure Virtual Machines, Azure Storage, Azure Databricks, Microsoft Sentinel and more. Automate deployment and management processes using Azure Bicep (infrastructure as code) and by utilising tools such as Azure CLI and Azure DevOps. Monitor and troubleshoot cloud More ❯

gathering through to testing. Key Responsibilities: Developing technical ability and knowledge by shadowing and assisting with the development of data solutions in Azure components such as Azure Data Factory, Databricks, Synapse and Azure SQL Database Assisting development activities on our legacy SQL Server data warehouses and facilitating our transition to Azure Performing root cause analysis on reported issues and helping More ❯