376 to 400 of 527 Databricks Jobs in the UK

across data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability to engage exec-level audiences and cross-functional stakeholders 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 ❯

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 ❯

Experience with Terraform and Kubernetes is a plus! A genuine excitement for significantly scaling large data systems Technologies we use (experience not required): AWS serverless architectures Kubernetes Spark Flink Databricks Parquet. Iceberg, Delta lake, Paimon Terraform Github including Github Actions Java PostgreSQL About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are More ❯

Experience with Terraform and Kubernetes is a plus! A genuine excitement for significantly scaling large data systems Technologies we use (experience not required): AWS serverless architectures Kubernetes Spark Flink Databricks Parquet. Iceberg, Delta lake, Paimon Terraform Github including Github Actions Java PostgreSQL About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are 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 ❯

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 ❯

and this role will have a big say in what we build next. You'll be responsible for designing and building robust, scalable data pipelines using PySpark, SQL and Databricks - enabling our analytics, BI and data science colleagues to unlock real value across the business. This is a brilliant opportunity for someone who's passionate about data quality, modern engineering … in this role: 2-5 years in data engineering or a related field Strong PySpark and advanced SQL skills Practical experience building and maintaining ETL/ELT pipelines in Databricks Familiarity with CI/CD pipelines and version control practices Nice to have: Experience using Databricks Asset Bundles (DAB) Working knowledge of GCP and/or Azure in multi-cloud 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 ❯

enthusiastic Business Intelligence Data Analyst to join our team in London. Pleas note this is a fixed-term- contract for 10months. Main skills will be to focus on SQL, DataBricks cloud and Tableau for visualisation. As a key member of our Business Intelligence team, you will play a crucial role in providing analytics insights to support business decisions across sales … Google Data Studio, to provide scheduled and ad hoc reporting to the business. Collaborate with our engineers to define and validate the web analytics required for GA streams into DataBricks (our data lake platform). Work with cross-functional teams to identify trends, patterns, and opportunities for website optimisation and user experience improvements. Conduct in-depth analysis of web analytics … You About You Experience and Skills: Preferred degree preferably in a Science, Technology, Engineering & Mathematics (STEM) field. Strong proficiency in SQL for data extraction, manipulation, and analysis. Knowledge of DataBricks cloud or similar datalake technology is a plus Experience in Tableau would be a plus Experience in Google Analytics 4/Adobe Analytics, or similar, Google Tag Manager, and Google More ❯

oriented languages (e.g., Python, PySpark) and frameworks. Expertise in relational and dimensional modeling, including big data technologies. Proficiency in Microsoft Azure components like Azure Data Factory, Data Lake, SQL, DataBricks, HD Insights, ML Service. Good knowledge of Python and Spark. Experience in ETL & ELT processes. Understanding of cloud analytics and ML Ops. Azure Infrastructure and Azure DevOps experience is a … plus. Ability to work with global teams and contribute to architecture discussions. Skills: Data Ops, ML Ops Deep expertise in Azure Databricks, ETL frameworks Fractal is an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind. If you enjoy growth and working with enthusiastic professionals, join us! Not the right fit now? Express 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 ❯

cloud native multi-tenant technology to unlock superior customer experience, development velocity & operational efficiency Lead design and implementation a unified data platform from ingestion, processing through transformation pipelines leveraging Databricks Delta Lake Drive adoption of modern data stack for core platform, orchestration, streaming, data quality, metadata management, monitoring and governance Ensure platform scalability, reliability, and performance to support rapidly growing … LAM, Reasoning, Multi-Modal based generative approaches Experience designing and scaling data platforms (batch and real-time), data pipelines, and systems that power enterprise-grade AI solutions; preferably leveraging Databricks Demonstrated ability to build and scale cross-functional teams spanning product, data and/or AI engineering Strong track record of translating business goals into technical execution plans and measurable More ❯

Principal Data Scientist Up to £125,000 London (Hybrid, 3 days onsite per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on More ❯

Principal Data Scientist Up to £125,000 London (Hybrid, 3 days onsite per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on More ❯

Report to Associate Director/Director of Data The Aztec Group is seeking a highly skilled and experienced Data Platform Architect to join our team. This role is pivotal in designing and evolving our data platform to ensure it meets 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 ❯

with zero carbon emissions. REQUIREMENTS 7+ years of experience in Data Engineering, including SQL and ETL (data validation, data mapping, exception handling) 2+ years of hands-on experience with Databricks 2+ years in a technical leadership role Strong knowledge of Python Practical experience with AWS services (e.g. S3, Redshift, Athena, Glue, Lambda) Upper-Intermediate or higher level of English Experience … mentoring Collaborate with analysts, stakeholders, and cross-functional teams to align data solutions with business needs Build and optimize data infrastructure in AWS (S3, Redshift, Glue, Lambda, etc.) Use Databricks + Python to transform and orchestrate data workflows Ensure compliance with enterprise security, governance, and SDLC best practices Communicate proactively and clearly across teams and stakeholders in a fast-moving 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 Essential 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 … 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 ❯

shape the future of reporting architecture. We are seeking an experienced Data Platform Architect to design and lead the implementation of a scalable, secure, and modern data platform using Databricks . This platform will underpin both our Business Intelligence (BI) reporting and research data environments, which will operate distinctly but be supported by a shared infrastructure. You will be the … both real-time and longitudinal data needs across the organisation. You will have full architectural autonomy to shape our platform. Key Responsibilities Architect and deliver a data platform using Databricks and Azure supporting: BI and operational reporting Research data workflows (e.g. surveys, longitudinal studies, modelling) Data science and AI developments Design for multi-tenancy and workload isolation between BI and … and operational reporting Establish data architecture patterns for bronze/silver/gold layers, metadata management, and schema evolution. Build and maintain CI/CD workflows, job orchestration (e.g. Databricks Workflows or Airflow), and cluster management policies. Lead performance tuning, cost optimisation, and observability across the platform. Develop and maintain platform documentation and reusable architecture assets. Collaborate with business stakeholders More ❯