11 of 11 Permanent Databricks Jobs in Tyne and Wear

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 ...

Modelling: Understanding of data modelling concepts and best practices. Ability to grasp fundamentals and fine-tune solutions for efficiency. Nice to Have Exposure to Databricks or willingness to learn. Familiarity with data pipeline orchestration tools. Interest in business processes and ability to communicate technical concepts in business terms. What ...

data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency … Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead teams ...

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 ...

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Experience Level: 3+ years Please Note: Due to the nature of client work you will be undertaking, you will need to be willing ...

Engineer to play a key role in a major digital transformation. You will be shaping the future of data using innovative technologies like Azure Databricks and Fabric. You'll design and optimise modern data pipelines, work with diverse data sources, and collaborate ... ...

Engineer to play a key role in a major digital transformation. You will be shaping the future of data using innovative technologies like Azure Databricks and Fabric. You'll design and optimise modern data pipelines, work with diverse data sources, and collaborate click apply for full job details ...

Engineer to play a key role in a major digital transformation. You will be shaping the future of data using innovative technologies like Azure Databricks and Fabric. You'll design and optimise modern data pipelines, work with diverse data sources, and collaborate with BI teams and stakeholders to deliver high … challenge external partners. What We're Looking For Solid foundations in data engineering with experience in cloud-based platforms. Hands-on experience with Databricks or Fabric. Strong SQL and PySpark skills. Understanding of ETL and dimensional modelling. Excellent communication and problem-solving mindset. Why Join? Work on modernisation projects including ...

days expected in the office each week. The Role Key responsibilities: Design, build and maintain data pipelines using Azure Data Factory and Azure Databricks Develop and optimise PySpark and SQL transformations Model data using dimensional modelling principles Support ingestion of data from various data sources and formats Collaborate with … their skills in cloud based data platforms. Key requirements: 1-4 years experience in a Data Engineering focused role Hands-on experience with Azure Databricks and Azure Data Factory Strong SQL knowledge Familiarity with Power BI, including datasets and basic DAX Some knowledge of CI/CD concepts for data ...

work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases … tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain ...