6 of 6 Databricks Jobs in West Yorkshire

learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks Knowledge of test automation frameworks and ability to automate testing within the pipeline This is an opportunity for significant growth, but with a start-up feel and mentality. In this More ❯

learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks Knowledge of test automation frameworks and ability to automate testing within the pipeline This is an opportunity for significant growth, but with a start-up feel and mentality. In this More ❯

Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital transformation More ❯

e.g., cloud platform or service fabric) in your choices. Technology Adaptation: Model data structures across various environments including relational databases, NoSQL stores, and cloud-based data platforms (e.g., Snowflake, Databricks). Experience: Proven experience in data modelling, architecture, or database design Proficiency with modelling tools such as ERwin, PowerDesigner, or similar Strong understanding of relational and NoSQL data structures Familiarity More ❯

experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across teams and drive strategic decisions. … Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (e.g., Kubernetes, Azure Container More ❯

security and privacy regulations. Contribute to Communities of Practice and support their cloud-first strategy. What you'll need to succeed Extensive experience in cloud-based data engineering (preferably Databricks), with a strong background in modernisation and large-scale migration. Expertise in Azure services (API Manager, App Service), Databricks, Spark, Python, SQL, and AI/ML frameworks. Proven track record … . Ability to translate strategic goals into technical delivery plans and roadmaps. Desirable Criteria Experience designing and implementing AI/ML-driven solutions within data platforms. Relevant certifications (e.g. Databricks Engineer Professional, Azure Data Engineer Associate, Azure Solutions Architect). Advanced academic qualifications or industry recognition in data engineering and cloud technologies. Experience in DevOps practices using GitHub Actions and More ❯