1,551 to 1,575 of 1,817 Databricks Jobs in the UK

Senior Quantexa Data Engineer - Birmingham/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - Leeds/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - London/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Data Platform Engineer, you’ll help build the backbone of DraftKings’ machine learning capabilities. You’ll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data … systems that enable data-driven decision-making at scale. What you’ll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost-efficiency Build and manage cloud infrastructure using AWS and infrastructure-as-code tools like Terraform Architect and document scalable ...

Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm's strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS.The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership … processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled. As platform landscape evolved towards cloud-native, AI enabled ...

Senior Data Platform Engineer, you'll help build the backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data … systems that enable data-driven decision-making at scale. What you'll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost-efficiency Build and manage cloud infrastructure using AWS and infrastructure-as-code tools like Terraform Architect and document scalable ...

deep technical expertise with strategic leadership, you will shape the organisation's data science, AI and external data strategies within a Microsoft Azure and Databricks environment. You will advise senior stakeholders, translate complex technical matters into clear commercial decisions, and contribute credible evidence of progress and value to strategic … operational priorities. Establish effective standards for model development, governance, explainability and lifecycle management in a regulated environment. Help shape the Microsoft Azure and Databricks data science environment, including the organisation's approach to deploying and managing machine‐learning models. Develop practical AI and external data strategies, prioritising opportunities supported ...

work with modern AI technologies and help influence how they’re adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool‐calling patterns. … need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling ...

Platform (GCP). Lead, mentor, and develop the existing team of two data engineers Build and optimise robust data pipelines with Python, Snowflake, and Databricks, ensuring seamless integration into business processes. Drive CI/CD best practices to maintain reliability and efficiency in all aspects of the data engineering lifecycle. … Functions. Proficiency in Python, SQL, and modern data engineering tools, plus familiarity with JavaScript for cross-functional collaboration. A strong background in Snowflake and Databricks to support scalable data solutions. Leadership skills, with experience mentoring a team, and the ability to inspire and grow talent. A commercially minded approach, with ...

Engineer, you'll play a key role in building and developing trusted data products that power decision-making across Whitbread. Working within our modern Databricks-based FLOW platform, you'll design, build and maintain robust data models and transformation pipelines, turning raw data into high-quality, analysis-ready datasets that … help shape the future evolution of Whitbread's data platform and analytics capabilities. What you'll need: Strong Experience developing data products within Databricks or a similar Spark/lakehouse environment. Strong SQL and Python development skills. Strong knowledge of data modelling, transformation and dimensional design. A passion for building ...

scope. Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences. You might also have Familiarity with Databricks, DBT, Spark/PySpark, or similar large‐scale data platforms. Modified infrastructure‐as‐code (e.g. Terraform) or contributing to production data pipelines. Mentored junior data scientists … engineers. Knowledge of, or passion for, the cryptocurrency and blockchain space. Technologies we use Python SQL Databricks DBT PySpark/Spark Terraform AWS Postgres We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview ...

Google Cloud Platform (GCP).Lead, mentor, and develop the existing team of two data engineersBuild and optimise robust data pipelines with Python, Snowflake, and Databricks, ensuring seamless integration into business processes. Drive CI/CD best practices to maintain reliability and efficiency in all aspects of the data engineering lifecycle. … Functions. Proficiency in Python, SQL, and modern data engineering tools, plus familiarity with JavaScript for cross-functional collaboration. A strong background in Snowflake and Databricks to support scalable data solutions. Leadership skills, with experience mentoring a team, and the ability to inspire and grow talent. A commercially minded approach, with ...

Lead to own the evolution of the data management capability for our Enterprise Data Platform (EDP). In 2026, we have successfully delivered a Databricks pilot that established the foundations of our data management capability, including Unity Catalogue, Microsoft Purview integration, metadata management, business glossary, data ownership and data quality. … data classification and information management in collaboration with security and privacy teams. Ensure governance capabilities support downstream reporting, analytics and AI use cases, including Databricks Genie. Solution Design & Delivery Act as the product owner for the data management capability, defining requirements and priorities for delivery. Work closely with the delivery ...

machine learning techniques within a general insurance pricing environment. Pricing Technology & Data Platforms: Proficiency in pricing and data tools such as WTW Radar, Databricks, Python, PySpark, SQL or similar platforms. Leadership & People Management: Proven ability to lead technical delivery through others, balancing hands‐on review with effective delegation, coaching … areas requiring technical investigation. You’ll promote continuous improvement across technical pricing processes, tools, reporting and ways of working, including the appropriate use of Databricks, Python/PySpark, Radar and other relevant platforms. You’ll comply with the requirements, and act in accordance with the Group Code of Conduct ...

effectively Empathic communication with stakeholders and colleagues Ability to balance technical considerations with product and user needs Strongly preferred: platform engineering, data engineering including Databricks, production agentic systems including RAG pipelines, vector search and frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n, DevSecOps/DevOps, MLOps, and Infrastructure … Solving Team Leadership Industry Keywords DevSecOps DevOps MLOps Infrastructure as Code Scalability Security Reliability Performance Monitoring Tools & Technologies Git MacOS Linux CI/CD Databricks RAG Pipelines LangChain LlamaIndex CrewAI N8n #J-18808-Ljbffr ...

observability Experience facilitating alignment across technical and non-technical stakeholders Experience mentoring teams and improving team practices Strongly preferred: platform engineering, data engineering including Databricks, production agentic systems, RAG pipelines, vector search, LangChain, LlamaIndex, CrewAI, AutoGen, n8n, DevSecOps, DevOps, MLOps, and Infrastructure as Code Core Competencies Demonstrates extensive experience … Collaboration Communication Leadership Problem Solving Industry Keywords Consulting Acumen Scalability Observability Security Reliability Performance Maintainability High-Stakes Engagements Feedback Conversations Technical Roadmaps Tools & Technologies Databricks DevSecOps DevOps MLOps Infrastructure as Code LangChain LlamaIndex CrewAI AutoGen N8n #J-18808-Ljbffr ...

continuous integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.) Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing … security expectations Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies and evolving user interface frameworks Exposure to cloud technologies including AWS, Databricks, and agentic AI solutions Knowledge of industry-wide technology trends and best practices across disciplines such as artificial intelligence, machine learning, and mobile development #J ...

delivered as part of a key strategic program. Technical leader for the development and delivery of the new Underwriting Datamart based on Databricks platform. Champion the adoption of Cloud computing for Underwriting, driving seamless integration and best practices. Develop and maintain automated ETL pipelines to increase efficiencies within the target …/or projects with strong stakeholder management skills. Programming experience essential with direct exposure to Python and SQL. An understanding and experience of the Databricks platform desirable. Experience of working with, and knowledge of, Data Science practices desirable. Experience of automation and CI/CD pipelines desirable. Self-starter ...

brands IP, frameworks and accelerators : We share what we know. Our playbooks and toolkits fast-track your success on projects. All the shiny tech : Databricks, Snowflake, Azure, GCP, AWS - you’ll use it, play with it and maybe even break it (responsibly). Senior consultants who have your back … Ensure systems are secure, reliable and cost-effective Collaborate with analysts, ML engineers and platform teams You might work with: Python, Spark, Airflow Snowflake, Databricks, BigQuery, Neo4J dbt, Fivetran, Terraform Your work matters and so do you. That’s why we back your skills with a structure that supports your ...

Manager/Lead Data Scientist - who will lead the development and delivery of high-impact data science products, building and scaling Python models in Databricks to solve complex business challenges. You’ll play a key role in shaping how data science is delivered across TalkTalk, driving projects from concept through … statistics, data science, AI or computer science Strong programming capability in Python and SQL Hands‐on experience with modern data platforms and tooling including Databricks, MLFlow, Git and CI/CD pipelines Experience deploying and maintaining machine learning models within production environments Strong problem-solving ability with experience managing multiple ...

including VNet, private endpoints, NSGs, and ingress/egress controls, while collaborating with security stakeholders to uphold the platform's overall security posture. Leverage Databricks for big data processing, feature engineering, and ML pipeline support. AI Services & Agentic Development Integrate and operationalise AI services including LLM APIs, vector search … infrastructure on Azure. Strong network architecture and configuration skills, including Azure networking concepts (VNet, NSG, private endpoints, DNS, ingress/egress). MLflow governance, Databricks for ML pipeline integration, and experience with ML serving infrastructure, LLM APIs, prompt integration, and multi-layer caching. Proficiency in PostgreSQL and experience in configuring ...

Location: Dublin/Remote Start: ASAP Rate: DOE I’m working with a leading organisation that is looking for an experienced Databricks Engineer to support a new greenfield implementation. The role will focus on setting up and deploying Databricks within Azure, working alongside established Azure, Identity and Network teams. … Requirements Strong hands-on experience with Databricks on Azure Proven experience setting up Databricks from scratch/greenfield Strong Azure infrastructure and architecture experience Good understanding of Azure identity, authentication and access management Experience working with Azure networking and security teams Ability to make technical decisions around the Databricks architecture ...

Location: Dublin/Remote Start: ASAP Rate: DOE I’m working with a leading organisation that is looking for an experienced Databricks Engineer to support a new greenfield implementation. The role will focus on setting up and deploying Databricks within Azure, working alongside established Azure, Identity and Network teams. … Requirements Strong hands-on experience with Databricks on Azure Proven experience setting up Databricks from scratch/greenfield Strong Azure infrastructure and architecture experience Good understanding of Azure identity, authentication and access management Experience working with Azure networking and security teams Ability to make technical decisions around the Databricks architecture ...

solutions run across modern cloud and data ecosystems. Advise on AI patterns across Azure OpenAI, Microsoft Fabric, AWS Bedrock, GCP Vertex AI, Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and other relevant enterprise platforms. Understand the foundations required for safe and scalable AI delivery, including identity, permissions, environments, data lineage, observability … automation, prompt engineering, evaluation and AI solution design. Familiarity with platforms such as Azure OpenAI, Microsoft Fabric, AWS Bedrock, GCP Vertex AI, Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and related enterprise tooling. Understanding of the data foundations required for AI, including structured data, unstructured data, semantic layers, vector search, permissions ...

DraftKings is building the backbone of its ML capabilities. As a Senior Data Platform Engineer, you will design, scale, and operate the Databricks and cloud infrastructure powering reproducible ML workflows across our business. You will collaborate with Data Science, ML Engineering, and Infra teams, own Databricks infra, implement IaC with ...