1,101 to 1,125 of 1,312 Databricks Jobs in London

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 ...

typePermSenior 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)NOIRUKTECHRECNOIRUKREC ...

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 ...

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 ...

basis, or the role you are applying for meets the criteria for employer sponsorship Bachelor’s degree or higherExperience with SQL and PythonExperience with Databricks, Data Factory, Azure DevOps, and GitExperience in energy or financeWhat Makes You Stand Out - PreferredHands-on experience with Databricks, Unity Catalog, medallion architecture, or comparable ...

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 ...

more broadly.Reporting to: Senior Manager - AI FDE, EMEAThe impact you will have:Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problemsOwn production rollouts of consumer and internally facing GenAI applicationsServe as a trusted technical advisor to customers across a variety of domainsPresent … technical concepts to non-technical and technical audiences alikePassion for collaboration, life-long learning, and driving business value through AI[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasetsWilling to travel once every 4-8 weeks to see customers (as needed)About DatabricksDatabricks ...

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.Deliver actionable … Cloud 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 the ability ...

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 ...

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 ...

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 ...

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 ...

will have:You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Financial services/Insurance segment.You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies … business planYou will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence PlatformYou will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional ...

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 ...

seeking an experienced Data Architect to join the Architecture team in London. You will design and deliver modern data and AI solutions on the Databricks Lakehouse Platform, leading architecture for Lakehouse implementations and mentoring engineers across multiple enterprise engagements. You will work with Databricks technologies, define technical roadmaps with customers ...

SLSQ327R354Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase … strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires ...

1514At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform … interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal ...

leader to lead and grow our EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. … customer insights and delivery learnings help inform the product roadmap and GTM strategyOwn OKRs for AI-services led accounts, revenue, utilisation, and public referencesRepresent Databricks as a thought leader in AI/MLWhat we look for:Extensive experience managing, hiring, and building a team of high-performing data scientists/ ...