11 of 11 Permanent Databricks Jobs in Somerset

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. ...

experience with modern data platforms and architectures Comfortable working in a client-facing data role Experience across cloud and data tools (Azure, AWS, GCP, Databricks, Snowflake, etc.) Confident communicator with both technical and non-technical stakeholders Passion for data & AI and emerging technologies The details: Location: Bristol - Once a month ...

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 ...

hiring a Data QA Engineer to work on a project for one of our global consultancy clients Requirements SQL Python Data migration testing BONUS: Databricks and Amazon Redshift Contract Details: Visa sponsorship is not available. Up to £735 per day. Remote, rare travel to UK based client office. 3 month ...

AI, Data & Defence Engineering Roles Engineer to Managing Consultant | Defence, National Security & Critical Infrastructure London, Newcastle, Manchester, Glasgow We are supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced ...

data pipelines that directly underpin operational decision-making and analytics for live energy assets. Key responsibilities Design, build, and maintain scalable data pipelines using Databricks (including Delta Live Tables). Develop robust ETL/ELT workflows ingesting data from operational, telemetry, and third-party systems. Optimise pipeline performance, reliability … operational outputs from these platforms. Technical requirements Proven experience as a Data Engineer in production environments. Strong Python and SQL skills. Hands-on Databricks experience (DLT, Delta Lake; Unity Catalog desirable). Solid understanding of data modelling, data warehousing, and distributed systems. Experience with cloud data platforms (Azure preferred ...

Data Engineering Technical Lead Global Investment Bank London - Hybrid Permanent - Excellent Package + Benefits We are working with one of the world's leading banking groups, who we have partnered with for 15 years. We ...

central role in building a robust and scalable data warehouse and data platform as the business evolves. The environment spans Azure and AWS, with Databricks at the core of the data stack. You will work closely with senior engineering, product, and business stakeholders to design future proof data architectures that … doing • Defining and owning the technical strategy for the data platform across ingestion, processing, and analytics • Designing scalable, secure, and high performance architectures using Databricks and distributed data systems • Building and overseeing robust data ingestion pipelines using PySpark, with a strong focus on reliability and accuracy • Ensuring ...

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 ...

collaborative environment that values continuous learning, professional development, and technical excellence. Key Responsibilities: Playing a key role in shaping the foundations of a Databricks-based lakehouse platform - designing how the catalogue is structured, defining core dimensions/facts, and ensuring the platform is discoverable and useful across the business. Writing … concise technical documentation. Adapting within a fast-evolving environment and contributing across the data remit wherever needed. About You: Have hands-on experience building Databricks lakehouse architectures and are excited by shaping foundational data infrastructure. Understand how to engineer data platforms for trust, scalability, and discoverability, not just produce pipelines. ...