7 of 7 Permanent Databricks Jobs in Oxford

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

heard and your career can grow. In this role, you will be responsible for: Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric Designing and maintaining data lakes, data warehouses, and ETL/ELT processes Developing scalable data models for reporting in Power BI Work … successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks Strong understanding of SQL and Python/PySpark Experience with Power BI and data modelling Commercial experience with Microsoft Fabric would be advantageous Some of the package ...

lead cutting-edge projects, mentor talented engineers and shape the future data strategy. You will play a pivotal role in migrating legacy systems to Databricks, designing scalable architectures and embedding best practices across the team. Longer term, you will help integrate AI and advanced analytics into the organisation's data … keep the organisation ahead of the curve. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Hands-on experience with Databricks and PySpark/Spark SQL. Strong expertise with the Azure data platform (Data Factory, Synapse, etc.). Solid understanding of data architecture and performance optimisation. What ...

that is transforming its data landscape. You will be the technical lead on the migration of the company's existing Azure Data Platform to Databricks where you will be responsible for the build of the new platform before overseeing the decommissioning of legacy systems. This is a hands-on engineering … high-performance data pipelines and ETL processes. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Strong hands-on expertise with Databricks and PySpark/Spark SQL. Deep knowledge of the Azure data platform (Data Factory, Synapse, etc.). Solid understanding of data architecture principles and performance ...

this role, you will be responsible for: Designing end-to-end data architecture aligned with modern best practices. Building and managing ingestion pipelines using Databricks and related tools. Developing PySpark/Spark SQL notebooks for complex transformations and cleansing. Applying governance, security, and CI/CD best practices across cloud … environments. Leading technical discussions and producing professional documentation. To be successful in this role, you will have: Hands-on experience with Databricks including Unity Catalog. Strong PySpark/Spark SQL skills for large-scale transformations. Experience integrating with diverse data sources such as APIs, cloud storage and databases. Experience with ...