126 to 150 of 776 Databricks Jobs in the UK

Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and More ❯

Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and More ❯

Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and More ❯

Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects in a collaborative and More ❯

of hands-on experience in Data Engineering, BI, or Analytics 2+ years in a leadership or management role Deep expertise in Microsoft Data Platform (SQL Server, Azure, Power BI, Databricks, etc.) Strong understanding of data governance, privacy, and compliance Proven ability to lead hybrid cloud/on-premise data solutions Experience with CI/CD, DevOps/DataOps, and infrastructure More ❯

to build scalable ETL/ELT pipelines and implement strong data governance and security controls. Experience with batch and real-time integrations , ODBC connectors, and REST APIs. Exposure to Databricks or Microsoft Fabric (desirable). A track record of working in complex ERP environments and supporting digital or data transformation programmes. Our client is investing heavily in technology and committed More ❯

popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

experience in data architecture and modelling (3NF, Kimball, Data Vault). Deep understanding of database design, metadata-driven pipelines, and data integration. Proven experience with Azure Data Services-including Databricks, Data Factory, Azure SQL, and CosmosDB. Expertise in data warehousing, data lakes, and lakehouse architectures. Strong knowledge of MDM, data cataloguing, and data lineage management. Experience across the full technology More ❯

popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent services. Experience implementing More ❯

popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent services. Experience implementing More ❯

lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply More ❯

Requirements Proven experience leading teams of engineers in delivering data-intensive system components. Proficient in Java, Scala, or Python . Hands-on experience with data-processing platforms (Informatica, Azure Databricks, or equivalent ETL tools). Expertise in SQL and analytical extensions . Strong understanding of distributed data stores and processing frameworks . Skilled in designing analytical and operational data models More ❯

principal capacity. Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline More ❯

principal capacity. Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline More ❯

principal capacity. Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline More ❯

drive to take ownership of tasks Tech Stack Core : Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph Data Stores : Vector Databases, DynamoDB, AWS S3, AWS RDS Cloud & MLOps : AWS, Databricks, Ray ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year Fully remote team - choose where you live ️ Work from home stipend! We More ❯

Strategy Data Governance/Data Management Data Platforms & Data Engineering Analytics & Insight AI Tech Stack Desirable: Microsoft expertise - Azure/Fabric (other cloud providers will be considered too) Snowflake Databricks Benefits That Put You First Health & Wellbeing - Enjoy Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range More ❯

Senior Databricks Engineer Location: Banbury or Manchester (Hybrid - 2/3 days in office) Salary: £60,000 - £75,000 per annum Contract: Permanent, Full-Time We're working with a well-established financial services organisation that's growing its data capability - and they're looking for a Senior Databricks E ngineer to join the team. What you'll be doing … As a Senior Databricks Engineer, you'll play a key role in designing, building, and maintaining data pipelines that help the business make better decisions. You'll work closely with the Data Architect and Data Product Manager to turn business requirements into reliable, high-quality data solutions. You'll spend most of your time developing hands-on - but you'll … recommend improvements. Work within an Agile environment using Azure DevOps for CI/CD, version control, and sprint delivery. What we're looking for You'll be an experienced Databricks Engineer who loves solving data problems, writing clean and efficient code, and helping others grow. You'll bring a mix of technical know-how, curiosity, and collaboration to the team. More ❯

opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a Senior Data Engineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our global analytics platform —supporting Front Office Trading across commodities—by building scalable … build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines and Delta Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready … Implement and maintain CI/CD pipelines, testing frameworks, and observability tools for data engineering workflows. Contribute to MLOps practices, including model tracking, deployment, and monitoring using MLflow and Databricks tools. Participate in code reviews, data modeling sessions, and collaborative solutioning across cross-functional teams. Ensure compliance with data governance, security, and performance standards. Stay current with Databricks platform enhancements More ❯

opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a Senior Data Engineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our global analytics platform —supporting Front Office Trading across commodities—by building scalable … build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines and Delta Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready … Implement and maintain CI/CD pipelines, testing frameworks, and observability tools for data engineering workflows. Contribute to MLOps practices, including model tracking, deployment, and monitoring using MLflow and Databricks tools. Participate in code reviews, data modeling sessions, and collaborative solutioning across cross-functional teams. Ensure compliance with data governance, security, and performance standards. Stay current with Databricks platform enhancements More ❯

opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a Senior Data Engineer with strong technical expertise in Databricks , data engineering , and cloud-native analytics platforms . You will contribute to the development and expansion of our global analytics platform —supporting Front Office Trading across commodities—by building scalable … build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain scalable data pipelines and Delta Lake architectures in Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready … Implement and maintain CI/CD pipelines, testing frameworks, and observability tools for data engineering workflows. Contribute to MLOps practices, including model tracking, deployment, and monitoring using MLflow and Databricks tools. Participate in code reviews, data modeling sessions, and collaborative solutioning across cross-functional teams. Ensure compliance with data governance, security, and performance standards. Stay current with Databricks platform enhancements More ❯