276 to 300 of 338 Databricks Jobs in the UK

data ecosystem. You will work with rich datasets and manage data workflows in large-scale data environments, ensuring reliable and performant data access in Databricks, BigQuery, Tableau and Data Studio. You will lead the design and development of scalable data models and transformation layers that enable self-service analytics, while … designing and owning robust data pipelines, modular data models, and scalable analytical datasets in large-scale, cloud-based environments Strong hands-on expertise with Databricks, BigQuery, and advanced SQL , building performant transformation layers ( Python a plus ) Comfortable working across multiple stages of the data lifecycle , from ingestion and transformation through ...

partners. About the Role You will lead engineering squads responsible for data platforms, collaboration tooling, and low-code solutions, working across technologies such as Databricks, Microsoft Fabric, Azure, Power Apps, Power Automate, SharePoint, and Azure DevOps. The role is focused on enabling stable delivery, strong engineering practices, and continuous improvement … stability, including Level 2/3 support and service transition readiness Build internal capability through coaching, mentoring, and structured development Improve engineering efficiency across Databricks, Fabric, Azure, and broader tooling ecosystems Champion a culture of continuous improvement, accountability, and collaboration What You Bring Proven experience leading multi-disciplinary engineering teams ...

Data Architect - (Financial Services) - Snowflake/Databricks - London (Hybrid) - Up to £100,000 This is an opportunity to join a recognised global organisation delivering high-impact transformation across financial services. You'll be working at the forefront of data strategy and architecture, helping some of the most sophisticated financial institutions … change, this is a standout role. You will work with: Leading Financial Services clients Senior business and technology stakeholders Modern data platforms (e.g. Snowflake, Databricks, Fabric) Industry data providers Cross-functional teams across strategy, architecture and delivery What you'll be doing: Supporting delivery of data strategy and architecture engagements ...

coach role at a pivotal moment. The business is mid-transformation, moving from a legacy environment to a modern, cloud-native platform built on Databricks and Azure. You'll define the architecture, drive execution, build the team, and set the technical culture from the ground up. … fixed fast. Responsibilities as a Senior Data Engineer: Define the directional architecture for the new data estate, including Lakehouse, Medallion and Eventing patterns on Databricks and Azure Lead discovery of the legacy estate: identify what to kill, what to keep, and how to migrate without breaking continuity Line manage, hire ...

polished environment. Its an opportunity to shape, modernise, and influence from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP. Youll operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams … processes into scalable, observable data pipelines Build and deliver high-quality data products in line with architectural designs Work across modern cloud platforms including Databricks, Azure, and GCP Engineering Leadership & Collaboration Act as the technical authority for third-party and contract engineers Contribute to engineering communities and help define best ...

production data science environments , not just proof-of-concept models Strong hands-on experience using Python as a primary programming language Experience working within Databricks (notebooks, pipelines, or ML workflows) A strong mathematical and statistical background , with confidence in applying theory to real commercial problems Role Overview You will apply … machine learning models in production environments Build and maintain end-to-end data science solutions using modern MLOps practices Use cloud-based platforms (notably Databricks) to develop scalable data products Translate complex analytical outputs into clear, business-focused insights Collaborate with technical and non-technical stakeholders across multiple functions Ensure ...

scalable environments Develop Python tools for automation and data workflows Apply analytical techniques to support predictive use cases Support data platforms such as Databricks or Snowflake Build clear interfaces for data visualisation Cloud & DevOps Design and manage cloud infrastructure (Azure preferred) Use infrastructure as code to automate deployments Containerise services … lifecycle Good attention to code quality Able to work independently and manage priorities Nice to have Experience with industrial protocols (CAN, Modbus) Exposure to Databricks or Snowflake Basic signal processing or predictive analytics knowledge Cloud certifications Responsibilities Deliver IoT and digital solutions that support operational performance Help define development ...

architectural design for a major SA‐CCR/Basel III Endgame programme. This includes defining the target architecture, building scalable Databricks patterns and ensuring regulatory‐grade governance, lineage and auditability across exposure and capital calculations.### **Your Role:** *A Senior Architect Driving Regulatory Transformation** **Lead … architecture**, defining the framework for RC, PFE and EAD calculations, including netting sets, supervisory factors and collateral/CSA logic.* **Design a modern Databricks architecture** using Delta Lake, Unity Catalog and Spark/PySpark to support versioned, reproducible and regulator‐defensible exposure calculations.* **Develop high‐performance compute pipelines** that support ...

data estate, defining the patterns and blueprints that will shape our platform for years to come. Make key decisions on how we utilise Databricks and Azure, including Lakehouse, Medallion and Eventing design patterns. Own the discovery and assessment of our legacy estate, determining what to migrate, modernise or decommission. Manage … years in data engineering or hands-on data architecture, with at least 3 years in a leadership position. Expert level proficiency in Databricks, Azure and SQL/Python, with GCP and BigQuery experience highly desirable. A proven track record of refactoring legacy data estates and migrating them to modern platforms ...

enjoys both technical challenge and stakeholder engagement. Key Responsibilities Develop and maintain data models supporting change control processes Build and optimise PowerBI dashboards using Databricks data models Deliver data engineering solutions using SQL and Python Align business requirements with data logic and reporting outputs Collaborate with … technical discipline (or equivalent experience) Proven experience in data engineering, software development, and visualisation Strong coding skills in SQL and Python Experience with Databricks and PowerBI Solid database management expertise Strong organisational and project coordination skills Excellent communication and stakeholder engagement abilities Ability to manage issues and escalate effectively Experience ...

pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments. Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure … with ML libraries such as scikit‐learn, XGBoost, TensorFlow or PyTorch. Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy datasets. Deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, and experiment design (A/B testing, holdout ...

Strong understanding of modern data and platform ecosystems. Ability to build, scale and grow high-performing engineering functions. IT Infrastructure: Cloud data platforms (e.g. Databricks, Azure) DevOps Agile delivery tooling What they offer: Competitive bonus Private medical cover and high-end wellbeing support Flexible working approach Significant scope to shape ...

PRODUCT OWNER - DATA PLATFORM KEY POINTS * Strategic Product Owner role owning an internal Databricks-based Data Platform * Hybrid working - Warwick/home * Full-time position with competitive salary * Azure, Databricks, data pipelines, integrations and analytics delivery ABOUT THE CLIENT We're working with an established organisation that is continuing … sitting at the centre of product, engineering and business change. You'll own the roadmap and backlog for an internal Data Platform built on Databricks and Microsoft Azure, translating business requirements into a clear, prioritised delivery plan. You'll work closely with engineering teams, architects and wider business stakeholders ...

environment. It’s an opportunity to shape, modernise, and influence —from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP. You’ll operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams … processes into scalable, observable data pipelines Build and deliver high-quality data products in line with architectural designs Work across modern cloud platforms including Databricks, Azure, and GCP Architectural Leadership Define and own the directional architecture for the Data Estate Lead decision-making on Databricks and Azure implementation Establish scalable ...

polished environment. Its an opportunity to shape, modernise, and influence from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP. Youll operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams … processes into scalable, observable data pipelines Build and deliver high-quality data products in line with architectural designs Work across modern cloud platforms including Databricks, Azure, and GCP Engineering Leadership & Collaboration Act as the technical authority for third-party and contract engineers Contribute to engineering communities and help define best ...

Support GitHub-based release and deployment workflows Work with Kafka for event-driven streaming and real-time data movement Support and evolve data platforms (Databricks ideal) Build and maintain data pipelines (batch + streaming/ETL/ELT) Improve platform reliability, observability, and performance Collaborate with engineering teams to improve …/CD (essential) Kubernetes, Docker, and Terraform experience Strong scripting skills (Python, Bash, or PowerShell) Experience with Kafka or similar streaming platforms Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery) Strong understanding of data pipelines and distributed systems Focus on automation, scalability, and reliability Nice to Have ...

Support GitHub-based release and deployment workflows Work with Kafka for event-driven streaming and real-time data movement Support and evolve data platforms (Databricks ideal) Build and maintain data pipelines (batch + streaming/ETL/ELT) Improve platform reliability, observability, and performance Collaborate with engineering teams to improve …/CD (essential) Kubernetes, Docker, and Terraform experience Strong scripting skills (Python, Bash, or PowerShell) Experience with Kafka or similar streaming platforms Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery) Strong understanding of data pipelines and distributed systems Focus on automation, scalability, and reliability Nice to Have ...

production data science environments , not just proof-of-concept models Strong hands-on experience using Python as a primary programming language Experience working within Databricks (notebooks, pipelines, or ML workflows) A strong mathematical and statistical background , with confidence in applying theory to real commercial problems Role Overview You will lead … machine learning models in production environments Build and maintain end-to-end data science solutions using modern MLOps practices Use cloud-based platforms (notably Databricks) to develop scalable data products Translate complex analytical outputs into clear, business-focused insights Collaborate with technical and non-technical stakeholders across multiple functions Ensure ...

Support GitHub-based release and deployment workflows Work with Kafka for event-driven streaming and real-time data movement Support and evolve data platforms (Databricks ideal) Build and maintain data pipelines (batch + streaming/ETL/ELT) Improve platform reliability, observability, and performance Collaborate with engineering teams to improve …/CD (essential) Kubernetes, Docker, and Terraform experience Strong scripting skills (Python, Bash, or PowerShell) Experience with Kafka or similar streaming platforms Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery) Strong understanding of data pipelines and distributed systems Focus on automation, scalability, and reliability Nice to Have ...

platforms are scalable, secure, resilient, and commercially effective from concept through to production. Key areas of focus include: • Enterprise AI and machine learning architecture • Databricks, AWS, and Snowflake ecosystems • RAG, vector databases, and agentic AI orchestration • Cloud-native, API-driven, and event-driven architectures • FinOps and cloud cost optimisation … solutions architecture, enterprise architecture, or senior technical leadership • Extensive experience designing AI/ML and cloud-native platforms at scale • Strong expertise across AWS, Databricks, Snowflake, Python, and SQL • Experience delivering scalable and operationally mature AI solutions • Insurance or reinsurance sector experience advantageous but not essential This represents an excellent ...

customers, optimise collections and improve commercial performance. Key Responsibilities • Build and optimise predictive models including propensity and scoring models • Prototype new analytical products using Databricks notebooks • Define product-level features, scoring logic and model outputs • Conduct data discovery and exploratory analysis across large customer datasets • Work closely with Product Managers … machine learning techniques for product innovation Key Details • Salary: Up to £65,000 • Location: Hybrid (minimum 2 days in London) • Tech stack: Python, SQL, Databricks, Azure • Sponsorship: Cannot sponsor Interested? Please apply below. ...

Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business stakeholders to translate complex requirements … data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership of technical decisions An engineering ...

Doing Lead analysis to align and reconcile data across legacy and newly acquired systems Develop and maintain insightful, high-quality dashboards using Tableau Use Databricks to access, analyse and interpret large, complex datasets Collaborate with Data Engineering, BI and technical teams on integration and reporting solutions Partner with senior stakeholders … experience in data analysis and reporting using SQL, Python and Tableau (or similar BI tools) Experience working with cloud-based data platforms such as Databricks or Snowflake Proven ability to work with multiple data sources and complex datasets Strong stakeholder management and communication skills Comfortable operating in a fast-paced ...

build and maintain dashboards in Tableau, ensuring reporting is clear, consistent and reliable. You’ll work with large datasets using tools like Databricks, partnering closely with data engineering and BI teams to support integration and reporting solutions. You’ll deliver KPI reporting, ad hoc analysis, data quality and statistical insight … years of experience in a Senior Data Analyst role Strong SQL skills and experience using Python Hands-on Tableau experience Ideally experience working with Databricks or Snowflake Confidence working with senior stakeholders and presenting insights Experience combining data from multiple systems and ensuring data quality Strong communication skills ...

techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption … general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication ...