4 of 4 Databricks Jobs in Bolton

Understanding of UI/UX principles. Contributions to open-source projects. Knowledge or experience working with text-to-code language models Knowledge or experience with big data analytics platforms (Databricks being a plus) Knowledge or data processing file format such as parquet, avro, csv) Who You Are Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent More ❯

I am on the look out for a skilled Databricks Engineer to join my client's data team whilst they are in a period of driving growth & effiency. This role is outside IR35 & will require some onsite presence in either Birmigham or Manchester. Responsibilities: Work closely with cross-functional teams to design, develop, and implement Databricks solutions. Manage and optimise … the performance of Databricks clusters. Collaborate with stakeholders to gather requirements and provide technical guidance. Troubleshoot and resolve complex issues related to Databricks infrastructure. Essential Skills & Experience: Proven experience working with Databricks in a similar role. Strong knowledge of Spark, Scala, Python, and SQL. Experience with cloud platforms such as AWS or Azure. Ability to work collaboratively in a fast … paced environment. Excellent problem-solving and communication skills. Desirable Skills & Experience: Certification in Databricks or related technologies. Familiarity with machine learning and data analytics. Previous experience in data pipeline development. Knowledge of DevOps principles. Please note this role unfortunately is not able to accomodate visas & due to volume of expected candidates, plus those already in our network, it is unlikely More ❯

in on-prem to cloud migration (Azure preferred) Ability to work autonomously, with strong stakeholder management Experience working with large data volumes and customer-scale platforms Nice to Have Databricks exposure Loyalty platform or app transformation experience Apply below if this could be a good fit for you More ❯

IaC) as the single source of truth. Develop and optimise CI/CD pipelines in Azure DevOps to automate deployment of workspaces, Unity Catalog, networking, and security. Work with Databricks (Spark/Scala, PySpark) to support ingestion frameworks, data processing, and platform-level libraries. Implement secure connectivity (VNET injection, Private Link, firewall, DNS, RBAC). Monitor, troubleshoot, and optimise platform … in governance, security, and automation. Document infrastructure, processes, and standards for wider engineering adoption. Must Have: Proven expertise with Microsoft Azure (networking, security, storage, compute). Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Deep experience with Terraform for Azure resource deployment and governance. Hands-on with Azure DevOps pipelines (YAML, agents, service connections). Understanding More ❯