51 to 75 of 81 Databricks Jobs in the South East

Data Scientist, to help to drive innovation and the usage of machine learning technology to support key business use cases, leveraging the Azure platform, Python, Spark, GenAI/LLMs, Databricks, SQL, DevOps & geospatial data knowledge to create end to end products to support key products. Ideally, you'll have experience from within the energy industry. You will - Support the creation … for coding standards, use of repos, DevOps sprints & Agile boards to ensure alignment with TD&D ways of working. You have - Extensive experience with the Microsoft Azure platform, Python, Databricks, SQL, Geospatial tools, Azure DevOps, use of repo, data factory & pipeline creation. - Machine learning experiencing on the Microsoft Azure platform, AutoML or Python. - Excellent communication & stakeholder management skills, with the … such as NLP & generative AI (familiarity with potential use cases, value & concerns - ethical AI, information security). - Front end development (GUI) experience with the ability to leverage the Azure Databricks platform (Databricks Apps) to create positive user experience generating tools off the back of key data science machine learning products. About SSE SSE has a bold ambition - to be a More ❯

and drive strategic decision-making What You'll Bring Strong grounding in data governance and MDM Experience with tools like Azure Purview Big data cloud familiarity (e.g., Azure, Synapse, Databricks) Excellent stakeholder collaboration and analytical problem-solving skills Agile, iterative project delivery expertise What You'll Get Competitive salary 26 days of annual leave (rising to 30 over time), plus More ❯

and drive strategic decision-making What You'll Bring Strong grounding in data governance and MDM Experience with tools like Azure Purview Big data cloud familiarity (e.g., Azure, Synapse, Databricks) Excellent stakeholder collaboration and analytical problem-solving skills Agile, iterative project delivery expertise What You'll Get Competitive salary 26 days of annual leave (rising to 30 over time), plus More ❯

looking to blend strategic leadership with hands-on technical skills. The role and skill sets... Ownership & Operation: Lead and operate core AWS services, CI/CD DevOps services, and Databricks data platform services. Scale-Up Experience: Been there, done that in a 200-2000+ sized org during their growth journey. Technically Proficient: Comfortable with large infrastructure changes using Pulumi More ❯

Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start Role: Senior Data Engineer Location: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. Start Date: Must be able to start mid-August. Salary: £80k-£90k (Senior) | £90k-£95k (Lead) About The Role Our partner is looking … thinking environment. You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement robust ETL/ELT solutions … reviews and solution design. Requirements Proven experience as a Data Engineer in cloud-first environments. Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools More ❯

Senior Project Manager - Databricks, Azure, Fabric - London - Up to £95kI'm currently working with an organisation that have a multinational presence. Whilst they have 3 main head offices split across 3 different regions including the UK, Their operations span globally. They're very well recognised within their relative fields as being industry leaders and pioneers in their field. As part … forward thinking and innovative organisation, get in touch ASAP so you don't miss your chance! Key words: Project Management, Project Manager, Programme Manager, Programme Management, Analytics, Data Engineering, Databricks, Fabric, Microsoft, AI, Artificial Intelligence, Azure, Data, Agile, Prince 2, London More ❯

focused on designing modern, scalable, and secure data platforms for enterprise clients. You'll play a key role in shaping data architecture across the full Azure stack- including Azure Databricks and Azure Data Factory (ADF) -and will guide engineering teams in delivering robust, future-proof solutions using lakehouse and medallion architecture principles . Key Responsibilities Design end-to-end data … architectures using Azure services, including Azure Databricks, ADF, Synapse Analytics , and Data Lake Storage Define scalable data models and implement architectural patterns such as lakehouse and medallion Lead technical solution design during client engagements, from discovery to delivery Establish and enforce data governance, modelling, and lifecycle standards Support engineering and DevOps teams with guidance on best practices, CI/CD … and infrastructure-as-code Requirements 7+ years in data architecture or senior engineering roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills with More ❯

London. Key Responsibilities - Azure Data Engineer: Design, build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics. Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. … incl. GDPR and ISO standards). Required Skills & Experience - Azure Data Engineer: Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure Azure Data Factory Azure Databricks (PySpark) Azure Synapse Analytics Azure Data Lake Storage (Gen2) SQL & Python Understanding of CI/CD in a data environment, ideally with tools like Azure DevOps. Experience working within consultancy More ❯

in complex, enterprise-scale environments Proven ability to deploy data products through development stages into production, with monitoring and observability tools Deep technical expertise in PySpark, SQL, Java, Spark, Databricks, dbt, AWS, and Azure Familiarity with European jurisdictions and global reporting requirements Experience with orchestration and CI/CD tools such as Airflow, Databricks Workflows, and Azure DevOps Strong problem More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

the development and maintenance of IDBS's software platforms adheres to IDBS's architecture vision. What we'll get you doing: Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark (PySpark) to support analytics and other data-driven initiatives. Support the elaboration of requirements, formulation of the technical implementation plan and backlog refinement. Provide technical perspective to … regulatory teams. Enabled regulatory compliance by implementing secure, auditable, and GxP-aligned data workflows with robust access controls. Improved system performance and cost-efficiency by optimizing Spark jobs and Databricks clusters, leading to measurable reductions in compute costs and processing times. Fostered cross-functional collaboration by building reusable. testable, well-documented Databricks notebooks and APIs that empower data scientists, analysts … CD automation, and mentoring, resulting in higher code quality, faster deployments, and increased team productivity. It would be a plus if you also possess previous experience in: Deployment of Databricks functionality in a SaaS environment (via infrastructure as code) with experience of Spark, Python and a breadth of database technologies Event-driven and distributed systems, using messaging systems like Kafka More ❯

Your new company Working for a leading energy company! What you'll need to succeed - Great experience using Databricks- Strong experience working with AWS Cloud - Experience using Power Bi - Must have either - Financial Services Trading/Trading Commodities. What you'll get in return Flexible working options available. What you need to do now If you're interested in this 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 ❯

business value. RESPONSIBILITIES Develop, test, and deploy custom web applications and dashboards, connecting to multiple enterprise data sources (e.g., Microsoft Fabric Data Lake, Power.B.I., Qlik Sense, SQL Server, Airtable, Databricks) Build advanced data visualisations using D3.JS and other JavaScript libraries to create highly interactive, responsive interfaces Integrate applications with APIs to pull, push, and process data in real-time Work … managing applications in Azure and/or AWS environments Data Platform Familiarity: Knowledge of connecting to data platforms such as Microsoft Fabric, Power.B.I., Qlik Sense, SQL Server, Airtable, and Databricks Performance Mindset: Commitment to building scalable, secure, and optimised web applications QUALIFICATIONS Proven experience developing and deploying web applications, ideally in a consulting or enterprise environment Proficiency in HTML, CSS … integration (REST, GraphQL) Familiarity with database technologies and query languages (SQL, NoSQL) Experience working with data sources such as Microsoft Fabric’s Data Lake, Power.B.I., Qlik Sense, Airtable, and Databricks Good grasp of DevOps practices, including CI/CD pipelines and code management workflows Cloud deployment experience with Azure and/or AWS Some background in UI/UX design More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … For Proven experience as a Project Managerin data-centric environments. Strong understanding of cloud platformsand familiarity with AI concepts. Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive salary up to More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … For Proven experience as a Project Managerin data-centric environments. Strong understanding of cloud platformsand familiarity with AI concepts. Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive salary up to More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … a Project Manager in data-centric environments . Strong understanding of cloud platforms and familiarity with AI concepts . Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Power Platform, Azure Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive More ❯

You'll help steer the organisation toward a GenAI-enabled future over the next three years. Key Responsibilities Lead internal data and AI projects within a Microsoft ecosystem (Fabric, Databricks, Power BI, Lakehouse, Copilot). Collaborate with cross-functional teams to ensure alignment with strategic objectives. Manage vendor relationships and guide product managers toward cohesive delivery. Operate within Agile frameworks … a Project Manager in data-centric environments . Strong understanding of cloud platforms and familiarity with AI concepts . Experience working within the Microsoft data stack (e.g. Fabric, Azure Databricks, Power BI, Power Platform, Azure Lakehouse, Copilot). Exceptional stakeholder management skills and the maturity to navigate complex internal dynamics. Agile delivery experience and a strategic mindset. Why Apply? Competitive More ❯

teams understand where new technology could pragmatically deliver value . Manage and monitor the cost, efficiency, and speed of data processing. Our Data Tech Stack Azure Cloud (SQL Server, Databricks, Cosmos DB, Blob Storage) ETL/ELT (Python, Spark, SQL) Messaging (Service Bus, Event Hub) DevOps (Azure DevOps, Github Actions, Terraform) Who you are A driven, ambitious individual who’s … in ELT and ETL processes and tools Ability to write efficient code for data extraction, transformation, and loading (eg. Python, Spark and SQL) Proficiency with cloud platforms (particularly Azure Databricks and SQL Server) Ability to work independently Ability to communicate complex technical concepts clearly to both technical and non-technical audiences Desirable skills NoSQL databases (eg. Cosmos DB, DynamoDB, MongoDB More ❯