501 to 525 of 603 Databricks Jobs in the UK

Databricks Trainer - Contract Vacancy Rate: £300 - £350 p/d IR35 Status: Outside Working Location: Remote My client has a requirement for a Databricks Trainer on a contract basis. The client is an training provider and consultancy. You will be supporting on a 4 week databricks program which is due to start either the end of August or middle of More ❯

empowers advanced analytics, supports regulatory reporting, and drives long-term business value. You will lead the design of a high-performance data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and … data engineering and architecture Collaborate with internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder … cross-functional collaboration skills Prior experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office/3 days home) 25 days annual leave + More ❯

data analysis workflows across IWSR. You'll work at the intersection of data engineering, data science, and DevOps - helping us move to a more structured and mature approach using Databricks on AWS . Your work will empower our analysts and data scientists to be more productive and consistent, by setting up reusable tools, automated deployment pipelines, and standardized workflows. This … is a hands-on role with a focus on enablement, automation, and best practices . Key Responsibilities: Set up and manage Databricks infrastructure, including job scheduling, cluster configurations, and workspace organization. Build CI/CD pipelines for notebooks, Python packages, and ML models using GitHub Actions or similar tools. Partner with analysts to migrate Excel and SQL workflows to Databricks … version control, testing, logging, and monitoring of data workflows. Create and deliver documentation, playbooks, and internal training to improve team-wide adoption and fluency. Skills & Experience: Deep familiarity with Databricks (administration and development) Strong experience with CI/CD tools and pipelines for data science Solid understanding of AWS services (e.g. EC2, S3, Lambda, Glue) and CDK Proficient in Python More ❯

and libraries Hands-on experience with GenAI tools and frameworks such as Hugging Face, LangChain, and open-source LLMs Familiar with cloud platforms (Azure preferred), and tools such as Databricks Comfortable using cloud platforms (especially Azure), and familiar with tools such as Databricks, Hugging Face, LangChain, and open-source GenAI libraries Comfortable working with clients and explaining technical concepts to More ❯

in enabling data access, platform operations, and analytical data modeling across Live Nation's international data functions. You will manage data workflows, ensuring seamless data access and usability in Databricks, BigQuery, Tableau, and Looker. You will lead the development of data models and analytical structures to support reporting teams and enable self-service analytics capabilities. The role requires strong collaboration … Competencies/Skills/Knowledge/Experience Proven experience in BI platform management, data engineering, and analytics operations roles with focus on enabling analyst teams Hands-on expertise with Databricks, BigQuery, Tableau and Looker, Python, and advanced SQL for creating views, tables, and optimising data structures Strong knowledge of data pipelines, data modeling, and database design with experience building scalable … cross-functionally with data engineering, reporting teams, and regional stakeholders Analytical, collaborative, and proactive mindset with strong problem-solving skills and business acumen What the role includes Champion the Databricks data platform - ensuring data access, data quality, and enablement for delivery of dashboards, insights and data modeling across the organisation Manage data workflow operations in BigQuery and Databricks, supporting reporting More ❯

needs) Contract duration: 6 months Location: London JOB DETAILS Role Title: Senior Data Engineer Note: (Please do not submit the same profiles as for 111721-1) Required Core Skills: Databricks, AWS, Python, Pyspark, data modelling Minimum years of experience: 7 years Job Description: Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams. Must have … Gold) using ADF, Python, and PySpark. Must have hands-on experience with PySpark, Python, AWS, data modelling. Must have experience in ETL processes. Must have hands-on experience in Databricks development. Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures. Must have hands-on experience in SQL development. Excellent More ❯

in our data science practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines. What's in it for you? You'll be joining a collaborative, supportive team with a real passion for data-led … classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and modern data architectures Experience with CI/CD pipelines and code versioning best practices Preferred skills: Familiarity with Databricks Asset Bundles (DAB) for More ❯

in our data science practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines. What's in it for you? You'll be joining a collaborative, supportive team with a real passion for data-led … classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and modern data architectures Experience with CI/CD pipelines and code versioning best practices Preferred skills: Familiarity with Databricks Asset Bundles (DAB) for More ❯

at Howden. Job Title: Data Architect Location: London/Hybrid Job Type: Full-time Job Summary Are you passionate about designing scalable, high-performance data architectures on Azure and Databricks ? Do you thrive on solving complex data challenges, integrating modern data platforms, and defining best practices for enterprise data management? We are looking for a Data Architect to lead the … you enjoy working with big data technologies, governance frameworks, and modern analytics platforms , this role is for you! Key Responsibilities Design and architect scalable, secure, and cost-effective Azure Databricks solutions for business and analytical workloads. Translate business requirements into high-level and low-level solution designs , ensuring alignment with best practices. Define and implement enterprise data governance, security, and … and-spoke data architectures , optimising for performance, scalability, and security. Collaborate with business stakeholders, data engineers, and analytics teams to ensure solutions are fit for purpose. Implement and optimise Databricks Delta Lake, Medallion Architecture, and Lakehouse patterns for structured and semi-structured data. Ensure best practices in Azure networking, security, and federated data access . Key Skills & Experience 5+ years More ❯

contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices More ❯

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on delivering exceptional customer experiences. It is initially a 3-month … week being based in their Nottingham office, this is negotiable. It is a full-time role, 37 hours per week. Accountabilities: * Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. * Build and manage an enterprise data model within Databricks. * Integrate new data sources into the platform using batch and streaming processes, adhering … and Skills: * Extensive experience of Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. * Strong understanding of SQL, database design, and data architecture. * Experience with Databricks and/or Spark. * Knowledgeable in data governance, data cataloguing, data quality principles, and related tools. * Skilled in data extraction, joining, and aggregation tasks, especially with big data and real More ❯

AI-enabled applications. Key Responsibilities: Develop robust, scalable applications using Python , APIs, and async processing techniques Collaborate with cross-functional teams on system architecture, design, and implementation Work with Databricks or Microsoft Fabric to manage big data workflows Utilize Azure Cloud services (Data Lake, Functions, App Services) for development and deployment Implement and maintain containerized solutions using Docker and CI … Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience: 2+ years of Python development experience with strong knowledge of APIs, data structures, and asynchronous programming Experience with Databricks or Microsoft Fabric Proficiency in Azure cloud services including Data Lake, Functions, and App Services Strong understanding of Docker , CI/CD workflows, and automation pipelines Familiarity with MLOps tooling More ❯

role will have both business and technical ownership. Day-to-Day Responsibilities: Individual Contributor Design and own the end-to-end solution architecture for complex data estates across Azure, Databricks, PySpark, and broader modern data stacks. Collaborate with vendors and demanding business stakeholders to build scalable, aligned, and performance-driven solutions. Engage directly with clients in deep-dive working sessions … experience Proficient in Object-oriented languages (Python, PySpark) and frameworks Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc. Expertise in relational and dimensional modelling, including big data technologies. Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus. In terms … Skills : Proficient in Object-oriented languages (Python, PySpark) and frameworks Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc. Expertise in relational and dimensional modelling, including big data technologies. Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus. Nice to More ❯

pricing actions. Collaborate with cross-functional teams to deliver the platform in an agile manner. Provide guidance on the implementation and management of Azure Cache (Redis), Postgres, Azure Redis, Databricks Delta Live tables, and Snowflake. Ensure the platform supports microservices and API-driven architecture with sub-2-second calls. Develop and maintain documentation, architecture diagrams, and other technical artifacts. Manage … What you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Experience in Data (Delta) Lake Architecture (Azure). Excellent problem-solving More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth … AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools Senior Delivery Consultant Office: 02033759240 Email: psharma@vallumassociates.com Seniority level Seniority level Mid-Senior level Employment More ❯

the delivery of the business information the business requires to grow and succeed. What you'll be doing Leading and shaping the implementation of strategic BI tools, such as Databricks and Power BI, to drive enhanced reporting analytics across the organisation Building strong relationships to partner with stakeholders across the business to deliver great reporting solutions Analysing and creating new … BI in-line with the Reporting & Insight and overall data strategy We need you to have Experience of working in a BI environment using Strategic BI Tools - for example Databricks, Power BI, SQL, Python Strong analytical skills and a keen eye for detail, with the ability to problem solve and find the best solutions. A real curiosity about data and More ❯

phases. Support presales engagements: run technical discovery sessions, create solution blueprints, and contribute to compelling proposals that articulate ROI and business value. Evaluate emerging technologies (e.g., Azure Kubernetes Service, Databricks, Serverless) and contribute to the evolution of Ascent's cloud reference architectures and reusable accelerators. Build and maintain strong relationships with client stakeholders-ranging from architects to C-suite-providing … environments. Demonstrated ability to lead small teams or line-manage engineers. Experience providing mentoring, setting architectural direction, and supporting team development. Familiarity with data platforms such as Azure Synapse, Databricks, and Azure Data Factory. Awareness of architectural frameworks such as TOGAF or industry standards like ISO 27001, NIST, etc. Understanding of FinOps practices and approaches to optimize cloud cost and More ❯

Senior Data Engineer - AWS Location: London (Hybrid) | Practice Area : Technology & Engineering Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We're looking for a Senior Data Engineer with AWS to join our growing team of More ❯

time left to apply End Date: August 29, 2025 (18 days left to apply) job requisition id JR Job Description : Job Description: Data Scientist Location: Great Britain Department: Strategy and Transformation Team About us - With over 200 brands sold in More ❯

Job Description Location: Central London (Hybrid - 3 days in office) Salary: Up to 74,000 per annum Contract Type: Fixed Term (18 months) Are you a visionary Data Architect ready to shape the future of data in a world-renowned More ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others More ❯

A leading Databricks Partner have need of multiple Resident Solution Architects and (Senior Data Engineers) for immediate outside IR35 fully remote contracts. You should have expert Databricks skills and be certified at Professional or Champion level. Key skills and experience for these roles include; Multiple Databricks projects delivered Excellent consulting and client facing experience 7 - 10 years+ experience of Consulting More ❯

systems Strong proficiency with Python, and familiarity with Scala, Go, or Rust Cloud platform expertise with AWS, GCP, or Azure, including AI-specific services (SageMaker, Vertex AI, Azure AI) Databricks platform experience with Unity Catalog, MLflow, and Databricks Machine Learning for end-to-end AI/ML workflows Modern ML infrastructure experience with tools like MLflow or similar platforms Containerization … model serving experience with modern inference servers and API gateways for AI applications Nice to have: Infrastructure as Code experience with Terraform, Ansible, or CloudFormation Distributed computing experience with Databricks, Ray, or Spark for large-scale AI workloads AI safety & governance experience with model evaluation, bias detection, and responsible AI practices Multi-modal AI experience with vision-language models, speech More ❯

This position is part of the Scaled Analytics Product Management team, helping to build on our market-leading data platform capabilities powered by Databricks. You'll focus on leveraging Databricks to build the infrastructure that rapidly launches customer-facing analytics products, and you'll work closely with other product managers to enable both our Analytics Engineering and Analytics Distribution efforts. … Responsibilities: Drive 3-, 6-, and 12-month product roadmap for Analytics Engineering Be the SME for Databricks for the Analytics business Provide and present insights into the latest industry trends affecting our data platform and customers Collaborate with other PMs in Distribution and asset class specific product areas to ensure platform meets their needs Support migrations from legacy data engineering … platforms to Databricks Maintain a well-groomed product backlog Partner with Engineering and QA leads to estimate work for each sprint and review items before launch Contribute to internal and external product knowledge-sharing activities (training guides, FAQs, documentation) Requirements : Bachelor's degree in Computer Science, Engineering, or equivalent work experience 3-5 years of product management with a focus More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark … R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯