technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties … engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Manager: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Hands on Python development experience. SQL optimisation. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Strong people management skills. Role: Data Engineering Manager More ❯
and pipeline design Support analytics and digital product teams through robust architecture and integration patterns Tech Environment & Tooling Deep focus on Microsoft Azure and associated services: Azure Data Factory, DataBricks, CosmosDB, Azure SQL Strong usage of SQL Server and modern data warehouse/lakehouse design (preferably Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with More ❯
core Azure native data solutions. Key Responsibilities: Own and execute enterprise data strategy – Enterprise data, BI, and reporting solutions Design and develop Azure-native data platforms (Synapse, Data Factory, Databricks, Purview) Lead data governance board and ensure GDPR compliance Drive data-driven decision making across the business Mentor teams and manage vendor relationships Qualifications and Requirements With the past … LLD) experience covering Data modelling (Conceptual, logical, and physical) A zure Expertise: Deep hands-on experience developing core Azure native data solutions: Synapse Analytics, Data Lake Gen2, Data Factory Databricks, CosmosDB, Microsoft Fabric Azure Purview for data governance Integration: Experience with MDM platforms (Profisee, Semarchy, CluedIn) To be considered, please ensure you complete your application on the Computappoint website. Services 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 … 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 ❯
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 ❯
and manage data pipelines. Our no-code/low-code ETL platform allows seamless integration of data from any source whether databases, applications, or files into lakehouses like Snowflake, Databricks, and Redshift. With pipelines that just work and features like advanced data transformation using dbt Core and end-to-end pipeline observability, were focused on making robust data pipelines accessible … and manage data pipelines. Our no-code/low-code ETL platform allows seamless integration of data from any source whether databases, applications, or files into lakehouses like Snowflake, Databricks, and Redshift. With pipelines that just work and features like advanced data transformation using dbt Core and end-to-end pipeline observability, were focused on making robust data pipelines accessible More ❯
in Computer Science or equivalent practical experience. - At least 4+ years of server-side software development experience in languages such asPython, Java, Scala, or Go. - Experience withBig Datatechnologies likeSpark, Databricks,andAirflow. - Familiarity with cloud environments such asAWSor GCP and containerization technologies likeDockerandKubernetes. - Strong problem-solving skills and ability to learn new technologies quickly. - Excellent communication skills and ability to work … did you hear about this job? Select Have you worked with Python/Java/Scala/Go? Select Do you have experience with Big Data Technologies like Spark, Databricks,andAirflow? Do you have any experience with Microservices architecture and API development? If yes, please describe briefly. What are you salary expectations? Do you require visa sponsorship to work in More ❯
reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and … Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change skills. More ❯
Bath, Somerset, United Kingdom Hybrid / WFH Options
Cognibox
reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and … Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change skills. More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
Cognibox
reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and … Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change skills. 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 ❯
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 ❯
Data Engineer with expertise in Azure, SQL and Databricks required by my global client. Due to continued increase in workload my client is looking for an experienced Data Engineer to join the team. You need to have a minimum of 5 years experience as a Data Engineer with at least 3 years hands experience of Databricks. This will be a More ❯
Join Barclays as a Digital Customer Data Engineer, where you'll be leading the development for a new shared data platform that is transforming how individuals/organisations interact with the bank. Your role involves using the latest data and More ❯
Reimagine enterprise data and content operations at massive scale! As the Principal Data and AI Engineer at Flexera, you will drive technical innovation and lead a talented team focused on the ingestion, curation, and organization of the world's IT More ❯
Here's what you'll be doing: Are you ready to shape the future of InsurTech with cutting-edge machine learning and AI? At Simply Business, we're not just using data; we're continuously evolving our platform with technologies More ❯
role involves working closely with engineers, architects, and stakeholders while remaining hands-on enough to prototype and solve complex technical challenges. Core Responsibilities Design and implement secure, high-performance Databricks environments including cluster setup, governance, and tuning Define and own the technical roadmap for the organisation's data platform Ensure systems meet standards for performance, security, maintainability, and reliability Drive … and knowledge transfer across teams Stay current with modern best practices in data engineering and architecture What They're Looking For Proven experience designing large-scale data platforms and Databricks infrastructure Strong understanding of Databricks internals, including cost and performance optimisation Advanced Python skills and software development best practices (e.g. testing, abstraction, modularity) Familiarity with modern data architecture (e.g. Lakehouse More ❯
Technology Architect with strong experience in data architecture and cloud technologies for a 6-month contract in London. The role will involve working with AWS (Aurora, S3, Lambda), Snowflake , Databricks , and Reltio to design and implement scalable data solutions. Key Responsibilities: Lead data architecture design using AWS, Snowflake, Databricks, and Reltio. Manage data migration, data modeling, ETL processes, and data … Knowledge of motor fleet insurance operations (underwriting, claims, policy management) is a plus. Required Skills & Experience: 15-20 years of experience in data architecture . Expertise in AWS , Snowflake , Databricks , and Reltio . Experience with data governance , data privacy regulations , and ETL tools . Familiarity with reporting tools like Power BI and Tableau . Experience with motor fleet insurance is More ❯
