376 to 400 of 506 Databricks Jobs in England

Senior Data Engineer (Databricks SQL Azure) Nottingham/WFH to £65k Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company. As a Senior Data Engineer you'll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day. … You'll be primarily working with advanced SQL with Databricks in Azure including data modelling and low level data design work. As a senior member of the team you'll also contribute to technical discussions, strategic decision making and help to mentor more mid-level data engineers. Location/WFH: There's a remote interview and onboarding process and you … from most of the time, meeting up with the team for constructive meetings once a month/quarter in the Nottingham office. About you: You have advanced SQL and Databricks experience You have experience in cloud based environments, Azure preferred You have strong analysis and problem solving skills You have experience of working in Agile development environments You're collaborative 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 ❯

are seeking a highly skilled and communicative Technical Data Engineer to join our team. The ideal candidate will have hands-on experience with modern data platforms and tools including Databricks, DBT, and Snowflake click apply for full job details 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

of pipeline issues. Collaborate with analysts, developers, and business stakeholders to understand data needs. Learn and apply best practices in data engineering, including security, governance, and documentation. Administration of Databricks Spark clusters and SQL Warehouse. Participate in code reviews and contribute to shared engineering standards. Maintain the integrity of databases and applications (as directed) upon which the business units rely … or responsibilities. What you'll need Bachelors' degree preferred. Minimum one (1) year of commercial experience; SQL DBA/Data Engineer preferred Familiar with Data Engineering applications such as Databricks and Azure Data Factory Basic PySpark and/or Python programming knowledge Familiar with ETL processes and techniques Administration of Microsoft SQL Server 2017/2019/2022 preferred Basic 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 ❯

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 ❯

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 ❯

Data Engineer (PySpark SQL Databricks AWS) London/WFH to £70k Opportunity to progress your career as a Data Engineer at a scaling, tech driven company that specialises in music royalty management, they've put significant investment into data processing capabilities, with a modern data platform that handles billions of lines of royalty data with an emphasis on streaming. As … then processing, cleaning and standardising datasets that leverage the company's bespoke data infrastructure, preparing audits and carrying out analysis. You'll be primarily working with PySpark, SQL and Databricks within an AWS environment. Location/WFH: You can work from home most of the time meeting up with colleagues in the London office two or three times a month. … About you: You have strong experience as a Data Engineer within the Music industry or an Accountancy environment You have strong technical skills with PySpark, SQL, Databricks and AWS You have experience with ETL pipelines and Data Warehouse/Data Lakes You're degree educated in mathematics or similar numerate discipline You're collaborative with great communication skills Ideally you 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 ❯

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 ❯

ll design, build, and optimize cloud-native data ecosystems that power analytics, governance, and business intelligence across the firm. You'll work with cutting-edge technologies like Azure Synapse, Databricks, Python, PySpark, and Collibra to deliver secure, high-performance solutions. What You'll Do Engineer and optimize modern data platforms using Azure and Databricks Build robust data pipelines with Python … Collibra for metadata and lineage tracking Collaborate with cross-functional teams to enable data-driven decision-making What You'll Bring Proven experience in cloud-based data engineering (Azure, Databricks) Strong Python/PySpark skills and DevOps automation experience Familiarity with Kubernetes, Kafka/Event Hub, and AI/ML platform integration Certifications in Azure, Databricks, or data governance tools More ❯

and maintain data models (logical and physical) to support business needs, ensuring data integrity and efficiency. Design and govern data architecture and integration standards across Azure Data Factory and Databricks to enable integrated analytics solutions. Support Munich Re's pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics, and R … engineering, administration, and implementation of systems and architectures in an insurance enterprise. Understanding of insurance domain concepts with hands-on data modeling experience. Experience with Azure Data Factory and Databricks, including designing data pipelines for secure data solutions. Industry certifications in Azure, Databricks, or data architecture are advantageous. Knowledge of system development methodologies such as Agile, DevOps, etc. Ability to More ❯