201 to 225 of 277 Databricks Jobs in the UK excluding London

Engineer to join on a contract basis to support major digital transformation projects with Tier 1 banks. You'll help design and build scalable, cloud-based data solutions using Databricks , Python , Spark , and Kafka -working on both greenfield initiatives and enhancing high-traffic financial applications. Key Skills & Experience: Strong hands-on experience with Databricks , Delta Lake , Spark Structured Streaming , and More ❯

Job Title: Databricks Architect Location : Nottingham Contract : Perm Recruiter: Noaman Hussain About the role Boots and the No7 Beauty company recognise the value of data as a strategic asset and have invested in creating an independent Data Office. Our data office supports the business with data platforms, management, and usage in the business to lead commercial value and achieve strategic … science and analytics community within Boots. We're looking for someone to make the next step in their career and join us as a Platform Architect focusing on our Databricks technology offerings. Platform Architecture is a broad discipline so we are looking for candidates from a range of backgrounds from technical to architectural. As Databricks Architect you will: Ensure our … Databricks offering supports projects and teams in delivering value from data. Lead the definition, design and implementation of new capabilities within Databricks Work with other Solution Architects in the team to ensure new requirements are cost-effective, deliverable and supportable. Work with technology and engineering partners and with internal teams to deliver platform capabilities, allowing us to maximise the value More ❯

models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data Governance to solve problems and create scalable solutions that make a tangible difference. What's in … and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists to deliver clean, reliable, and well-documented datasets. Develop and maintain … skills with a problem-solving mindset. Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with More ❯

models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data Governance to solve problems and create scalable solutions that make a tangible difference. What's in … and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists to deliver clean, reliable, and well-documented datasets. Develop and maintain … skills with a problem-solving mindset. Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with More ❯

Data Architect (Databricks SME) Location - Derby (1/2 days a month) Type - Contract (End of the year - likely to extend) Role Overview: I'm looking for a Databricks Specialist with strong experience in the Azure ecosystem to help design, build, and optimise a scalable data platform. This role combines hands-on development with architecture, governance, and team support to … ensure a high-performing and secure environment. The role reports to a project delivery lead and works closely with internal technical teams. Key Responsibilities: Design and implement Databricks Lakehouse architecture (Delta Lake, Unity Catalog, etc.) Develop ETL/ELT pipelines using Spark, Python, SQL, and Databricks workflows Integrate with Azure services and BI tools (e.g., Power BI) Optimise performance and … support CI/CD and MLOps pipelines Enable knowledge transfer through code reviews, training, and reusable templates Key Skill s: In-depth experience with Databricks (Delta Lake, Unity Catalog, Lakehouse architecture). Strong knowledge of Azure services (e.g. Data Lake, Data Factory, Synapse). Solid hands-on skills in Spark, Python, PySpark, and SQL. Understanding of data modelling, governance, and More ❯

Ahead of Trends: Keep abreast of industry trends and emerging technologies to build future-focused data architecture roadmaps. Desirable Skills: Experience with enterprise data modelling. Hands-on experience with Databricks, Snowflake, or similar platforms. Familiarity with Collibra. ### Why Join Us? Innovative Environment: Be part of a forward-thinking organisation that is modernising its data estate and enhancing data services. More ❯

Ahead of Trends: Keep abreast of industry trends and emerging technologies to build future-focused data architecture roadmaps. Desirable Skills: Experience with enterprise data modelling. Hands-on experience with Databricks, Snowflake, or similar platforms. Familiarity with Collibra. ### Why Join Us? Innovative Environment: Be part of a forward-thinking organisation that is modernising its data estate and enhancing data services. More ❯

laws (e.g., GDPR, CCPA), data contracts, and data usage governance. Strong knowledge of metadata management, data cataloguing tools, and data quality practices. Working knowledge of data platforms (e.g., Snowflake, Databricks, Azure, or equivalent). Excellent relationship and stakeholder management skills - especially with product managers, legal teams, and engineering. Ability to work autonomously, manage priorities, and deliver outcomes in a fast More ❯

login/join with: We are looking for an experienced Data Governance Lead to drive enterprise-wide data governance initiatives with a focus on modern cloud data platforms, specifically Databricks and Microsoft Azure. This role will define and enforce data policies, standards, and best practices that ensure high data quality, security, and regulatory compliance across our data ecosystem. You will … implement enterprise-level data governance frameworks, standards, and operating models, aligned with business objectives and compliance requirements. Collaborate with data engineering and platform teams to integrate data governance within Databricks and Azure environments, including Data Lake, Synapse, and Purview. Define and enforce data classification, access management, and lineage tracking using Azure-native and third-party tools. Lead the Data Governance … pipelines and lakehouses. Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries. Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI reports, and machine learning workflows. Drive awareness and adoption of governance policies through training, documentation, and data literacy programs. Ensure data governance supports regulatory compliance, (e.g. GDPR More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of Snowflake/Databricks More ❯

Projects: Collaborate on exciting and complex data pipelines, platforms, and automation solutions across industries including finance, retail, and government. Cutting-Edge Tech: Work hands-on with tools like Spark, Databricks, Azure Deequ, and more. Career Development: We invest in your growth with dedicated training, mentoring, and support for certifications. Collaborative Culture: Join a diverse, inclusive team that thrives on innovation … do: Maintain test automation frameworks tailored for data-intensive environments. Implement validation tests for data pipelines, data quality, and data transformation logic. Use tools like Azure Deequ , Spark , and Databricks to ensure data accuracy and completeness. Write robust, scalable test scripts in Scala , Python , and Java . Integrate testing into CI/CD pipelines and support infrastructure automation. Collaborate with … practices and data validation techniques. Experience using test automation frameworks for data pipelines and ETL workflows Strong communication and stakeholder management skills. Nice-to-Have: Hands-on experience with Databricks , Apache Spark , and Azure Deequ . Familiarity with Big Data tools and distributed data processing. Experience with data observability and data quality monitoring. Proficiency with CI/CD tools like More ❯

Engineering, Data Science, Analytics, and DevOps teams to align operational strategies with technical and business requirements. Optimize operational performance and cost management for services including Azure Data Factory, Azure Databricks, Delta Lake, and Azure Data Lake Storage. Serve as the domain expert in DataOps by providing strategic guidance, mentoring colleagues, and driving continuous process improvements. What you will need Demonstrable … with agile teams and driving automation of data workflows within the Microsoft Azure ecosystem. Hands-on expertise with Azure Data Platform with components such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Delta Lake, Azure SQL, Purview and APIM. Proficiency in developing CI/CD data pipelines and strong programming skills in Python, SQL, Bash, and PySpark for More ❯

a thought leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with … designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools More ❯

and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality. You'll manage automatic model … and integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such More ❯

and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality. You'll manage automatic model … and integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such More ❯

and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality. You'll manage automatic model … and integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such More ❯

About Us We're Dayshape-an award-winning software scale-up with big ambitions and the momentum to match. Trusted by Big Four and many other top professional services firmsglobally, our AI-powered resource management platform is helping organisations to More ❯

Press Tab to Move to Skip to Content Link Location: London Other locations: Primary Location Only Date: Jul 8, 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in More ❯

to understand the core loops of our games Collect requirements for and plan new game, finance, and brand reporting, tooling and automation Build and maintain dashboards using PowerBI and Databricks SQL Produce analysis and insights for our Launch Report and Key Player Metrics processes Work with our data engineers to design, build and maintain reporting data pipelines Produce ad-hoc … time to time, you may: Be asked to produce analysis, insights, or viz/dashboarding for our Production Intelligence data The stack you'll work with is: Power BI Databricks Knowledge, Skill and Experience Love video games and are highly motivated by the chance to play a key role in their production Have 4 years of experience working with data … and are familiar with different monetization models or have previous experience in the industry Are comfortable writing Python scripts for data wrangling and API interaction Have previously worked with Databricks as an analyst Know how to do CI/CD with data products built on Databricks or Fabric Understand how to use Jira and Confluence Know the difference between descriptive More ❯

and utilising the full set of your technology skills whilst driving new areas like Azure/cloud, and all the new tools to play with - Azure Data Factory, Azure Databricks - what about AI? In this predominantly remote you will help create, mature, and grow, a data estate designing and creating modern data platforms to fundamentally transform the data environment. The … need a few basics from you: Data pipeline creation Strong ETL development experience with Azure Data Factory Datawarehouse and data storage concepts - star schema/snowflake/Kimball Azure Databricks and AI Power BI reporting skills would be advantageous Strong stakeholder management experience After a few weeks of induction and meeting the business you'll visit the Walsall offices circa More ❯

What's this role about? As a Senior Data Consultant, you will be responsible for providing advisory and thought leadership on the migration to Azure/Databricks Data Cloud or implementing data solutions using Data Cloud services including integration with existing data and analytics platforms and tools. You will contribute in pre-sales and design, implement scalable data architectures, and … Studio, Collibra, Precisely, OneTrust Experience in MDM/DQM/Data Governance technologies like Collibra, Atacama, Alation, Reltio Experience with the modern data, analytics and business intelligence tools, - Promethium, Databricks, Spark, Fabric, SQL, Python, and PowerBi is a must Business Analysis and requirement gathering: End-to-end experience of gathering and documenting requirements to deliver Solutions Designs that meet business More ❯

the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest … Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. More ❯

the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest … Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. More ❯

a pro, with automation, templates, and CI/CD pipelines all part of your toolkit. Azure Know-How - you've got solid experience across Azure services - Synapse, Data Factory, Databricks, DevOps, networking - and you know how to keep things secure, efficient, and cost-effective. Great Communicator & Team Collaborator - whether you're talking to data engineers, security, or stakeholders - you can … Git Proven to be an excellent communicator with a clear passion for data & analytics. Deep engineering and database skills in SQL, Server Azure Synapse, Data factory, spark compute and Databricks technologies. Experience of developing coding standards and deliver methods that others follow. Experience of testing techniques, tools and approaches. Extensive experience of the full data lifecycle. Will have been involved More ❯

An exciting opportunity has arisen for an experienced Data Solution Architect to become part of the National Data and Analytics (NDA) Platform & Engineering Team. The NDA Platform & Engineering Team is working on providing data to drive the business forward. You More ❯