4 of 4 Permanent Databricks Jobs in Milton Keynes

of Azure components including Virtual Machines/Scale Sets, Azure Kubernetes Service, API Management, App Services/Service Environments, Azure SQL and MI, Functions, Networking, App Insights, Data Factory, Databricks, Identify Management (Entra) Azure DevOps/ADO Solid understanding of Terraform, Helm, Flux, Powershell/Azure CLI Attributes : Able to work well in a team, as part of a department More ❯

deep understanding of Azure PaaS components. Key areas: o AKS (deployment + management) o API Management o Azure SQL and MI o Functions o Networking o Data Factory o Databricks Proven experience with Azure DevOps (ADO) Solid understanding of o Terraform o HELM o KQL Advantageous: Healthcare or Government related industry experience Understanding of JIRA and Confluence Understanding or experience More ❯

practices. Adaptability: understanding legacy processes while introducing and championing new technology. Technologies/Tools SQL coding skills ( essential ). Python coding skills ( essential ). Experience with Azure (ADF, Azure Databricks, Data Lake Storage, SQL DWH) or other cloud platforms ( essential ). Familiarity with distributed systems (Spark, Databricks, etc.). Familiarity with semi-structured and unstructured data formats. Knowledge of machine More ❯

are seeking a highly skilled and communicative Technical Data Engineer to join our team. The ideal candidate will have hands-on experience with modern data platforms and tools including Databricks, DBT, and Snowflake. You will play a key role in designing, developing, and optimizing data pipelines and analytics solutions that drive business insights and decision-making. Key Responsibilities: Design, build … and maintain scalable data pipelines using Databricks and DBT. Develop and optimize data models and transformations in Snowflake. Collaborate with cross-functional teams to understand data requirements and deliver robust solutions. Ensure data quality, integrity, and governance across platforms. Troubleshoot and resolve data-related issues in a timely manner. Document processes, workflows, and technical specifications clearly and effectively. Required Skills … Experience: Proven hands-on experience with: Databricks (Spark, Delta Lake, notebooks) DBT (data modeling, transformations, testing) Snowflake (SQL, performance tuning, data warehousing) Strong understanding of data engineering principles and best practices. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Experience working in agile environments and collaborating with data analysts, scientists, and business teams. All More ❯