City of London, London, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
Lead Data Engineer | Location: London (Hybrid - 1-2 day a month in office) | Salary: £90,000-£110,000 | London Market Insurance The Opportunity Are you passionate about building cutting-edge data platforms that drive business growth? Our client is seeking who is a Speciality Insurer a skilled and motivated Lead Data Engineer with Insurance experience to play … a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve … data quality, and empower the business to make data-driven decisions. As a Lead Data Engineer, you'll work closely with both technical and business stakeholders, leveraging your expertise to design, develop, and optimize a high-performance data platform built on Databricks . This platform will be built to scale, incorporating the latest advancements in dataMore ❯
MCS Group | Your Specialist Recruitment Consultancy
Data Engineer Location: Hybrid (Belfast-based) | Full-time | Career development opportunity We're looking for a motivated Data Engineer to join a dynamic and supportive team working on enterprise-scale data solutions. This is an ideal role for someone with a strong foundation in SQL and Python, and a passion for building data pipelines, working with … cloud technologies, and transforming raw data into actionable insights. You'll collaborate closely with experienced engineers and cross-functional teams to integrate, model, and maintain large datasets from multiple sources, ensuring data quality and reliability. You'll be involved in designing and optimising data workflows, supporting analytical and reporting initiatives, and contributing to the ongoing development of … our modern data infrastructure. This is a hands-on role where you'll learn fast, take ownership of tasks, and help bring clarity to business decisions through high-quality, well-documented data processes. What you'll do: Develop and maintain ETL/ELT pipelines and data models Support testing, validation, and optimisation of data processes Work More ❯
Company Outline Job Role: Product Data Analyst Location: London, HybridEC3A 3DE Salary: Competitive (DoE) Contract Type: Full Time, Permanent What We Can Offer You: Hybrid Working, Performance-Related Bonus, Life Assurance, Additional Holiday Purchase, Health Cash Plan, Subsidised Gym Memberships, Cycle to Work scheme, Discount Vouchers and Access to Wellbeing Resources! Why do we want you? We are seeking … a Product Data Analyst to join our Product & Innovation team at Axco, part of Wilmington Plc. We're looking for a Power BI expert to maintain Axco's existing integrations and to introduce new data and dashboards in the future. You will play a key role in deriving value from datasets to shape and inform new Axco products. … use the contact details provided once you have clicked " apply "! Job purpose, tasks and responsibilities You will be responsible for: Being part of the product team responsible for developing data solutions for our clients using Power BI and other relevant data and reporting technologies. Developing internal business analytics on product usage, customer segmentation, feedback analysis, product performance, and More ❯
Senior Engineer - Data – Leading SaaS Business Full-time · Permanent · Remote/Hybrid (Glasgow-based office) A leading SaaS business at the forefront of digital transformation is seeking an experienced Senior Engineer - Data to join its growing data team. As the company scales its next-generation platform, data is central to delivering fast, accurate, and intelligent user … experiences. This is a fantastic opportunity to play a key role in shaping a modern data and search infrastructure using cutting-edge technologies. About the Role You’ll be part of an agile, cross-functional team building a powerful data platform and intelligent search engine. Working with technologies like Apache Lucene, Solr, and Elasticsearch, you'll contribute to … design and development of scalable systems, with opportunities to explore machine learning, AI-driven categorisation models, and vector search. What You’ll Be Doing Design and build high-performance data pipelines and search capabilities. Develop solutions using Apache Lucene, Solr, or Elasticsearch. Implement scalable, test-driven code in Java and Python. Work collaboratively with Business Analysts, Data Engineers More ❯
Are you as passionate about data & analytics as we are? Do you know your way around in the Microsoft Analytics ecosystem (Synapse, Fabric, )? Then we might have the perfect job for you! What will your future job look like? You determine the architecture and set up secure and scalable Data Platforms using Azure . You evaluate data requirements together with the dataengineering and look for technological solutions that fit into the platform architecture. You design and implement data models and structures. You work closely with a wide variety of stakeholders, using technical and business communication skills . You provide support to development teams and coach your colleagues. Who are you? Degree(s … experience Microsoft certification is a plus: DP600- Microsoft Fabric AZ-700 - Designing and implementing Microsoft Azure AZ-305 - Azure Solutions Architect Expert Technical proficiencies Solution architecture principles in a Data & Analytics context Azure architecture, infrastructure services and networking Experience with Azure Analytical components and databases like Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Databricks, Power BI, SQL More ❯
Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
Rullion - Eon
Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on delivering exceptional customer experiences. It is initially … one day a week being based in their Nottingham office, this is negotiable. It is a full-time role, 37 hours per week. Accountabilities: * Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. * Build and manage an enterprise data model within Databricks. * Integrate new data sources into the platform … using batch and streaming processes, adhering to SLAs. * Create and maintain documentation for data pipelines and associated systems, following security and monitoring protocols. * Ensure data quality and reliability processes are effective, maintaining trust in the data. * Be comfortable with taking ownership of complex dataengineering projects and develop appropriate solutions in accordance with business requirements. * Able More ❯
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
In Technology Group
Data Engineer – Newcastle (3 Days On-Site) £45,000 – £55,000 + Excellent Benefits Large Utilities Company | Permanent | Hybrid Working Are you a data-driven problem solver with a passion for building robust data pipelines and infrastructure? We’re working with a major player in the utilities sector who is seeking a talented Data Engineer to … join their growing data team in Newcastle . This is a fantastic opportunity to work on impactful projects that support critical infrastructure, while enjoying a hybrid working model with 3 days per week on-site . What You’ll Be Doing: Designing, building, and maintaining scalable data pipelines and ETL processes. Collaborating with data scientists, analysts, and … business stakeholders to deliver high-quality data solutions. Ensuring data quality, integrity, and security across various platforms. Supporting the migration and integration of data from legacy systems to modern cloud-based environments. What We’re Looking For: Proven experience as a Data Engineer or in a similar role. Strong SQL skills and experience with dataMore ❯
East Midlands, England, United Kingdom Hybrid / WFH Options
James Adams
James Adams is currently looking for a Product Owner with extensive experience working with DataEngineering teams. This is a permanent role working mostly remote, 1 day per month in East Midlands. Salary: Up to £60,000 About the Opportunity Our client is looking for a crucial link between their business needs and technical data solutions. As … the Product Owner for DataEngineering, you'll be instrumental in understanding stakeholder requirements, translating them into clear user stories, and guiding the dataengineering team throughout the development lifecycle. This role demands a deep understanding of data pipelines, data warehousing, and data governance, coupled with outstanding communication and stakeholder management abilities. Key … Responsibilities Define and Champion the Data Product Vision: Collaborate with diverse stakeholders to grasp strategic objectives and transform them into a compelling vision for data products and platforms. Strategic Backlog Management: Take ownership of and prioritize the dataengineering backlog, ensuring perfect alignment with business goals for maximum value delivery. Comprehensive Requirements Gathering: Work closely with More ❯
If the idea of building a brand that empowers citizens with their own financial data, that’s fair, ethical, transparent in its approach to democratising affordable credit for all, with a diverse team who understands humans & human data excites you as much as it does us, we'd love to meet. Who we are: Good With, an award … the outcomes we are looking for, but aren’t sure if you tick every box, we’d still love to hear from you.) We’re looking for an experienced Data/MLOps Engineer with a startup mentality, who will work at the heart of a dynamic, multidisciplinary and agile team. As the more senior data engineer on the … team, you’ll spend most of your time working across data and software development teams, ensuring the data science pipeline flows seamlessly as part of the product, focusing on quality, automation and security. Key responsibilities: Data pipeline design & management: build and maintain robust, scalable data pipelines for ML model training and inference. Ensure data is More ❯
Passionate about Databricks and DataEngineering? Aivix has been in operation for over a year and recently achieved AWS Select Partner & Databricks Registered partner status. We excel in offering analytics solutions that facilitate data-driven digital transformations for our customers. Aivix is currently looking for data engineers who are interested in Databricks. You will be shaping … the beating heart of the data strategy at our customers. Together with the whole Intellus Family, we are an enthusiastic group. We encourage everyone to be themselves while actively empowering an entrepreneurial mindset. Ready to contribute to help and build our growing story? As a Databricks Engineer you will be involved in: Making use of best practices in Databricks … Big Data and AI projects Having conversations with the customer to correctly identify the data needs; Developing data pipelines (ELT and ETL); Combining data from multiple sources in an efficient and performant manner; Developing smart algorithms and statistical models to extract insights from data; Support data scientists with data preparation and deployment; Advising More ❯
a Head of AI & Technology to join their team in Holborn, London. Overview We’re looking for an exceptional Head of AI Architecture to lead and inspire our senior engineering team, setting the architectural vision and driving the development of a cutting-edge AI-powered platform. This role demands a seasoned architect with substantial leadership gravitas, extensive experience in … engineers, fostering a culture of technical excellence and continuous improvement. Define and enforce best practices in software architecture, coding standards, security, scalability, and performance. Collaborate closely with product management, data science, and other stakeholders to align technical strategy with business goals. Drive adoption and integration of advanced AI tools, frameworks, and platforms, keeping the team ahead in the evolving … API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. More ❯
City of London, Greater London, UK Hybrid / WFH Options
Reed.ai
a Head of AI & Technology to join their team in Holborn, London. Overview We’re looking for an exceptional Head of AI Architecture to lead and inspire our senior engineering team, setting the architectural vision and driving the development of a cutting-edge AI-powered platform. This role demands a seasoned architect with substantial leadership gravitas, extensive experience in … engineers, fostering a culture of technical excellence and continuous improvement. Define and enforce best practices in software architecture, coding standards, security, scalability, and performance. Collaborate closely with product management, data science, and other stakeholders to align technical strategy with business goals. Drive adoption and integration of advanced AI tools, frameworks, and platforms, keeping the team ahead in the evolving … API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. More ❯
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
Altrincham, Greater Manchester, UK Hybrid / WFH Options
Enigma
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
Bolton, Greater Manchester, UK Hybrid / WFH Options
Enigma
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
City of London, Greater London, UK Hybrid / WFH Options
Enigma
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
Leigh, Greater Manchester, UK Hybrid / WFH Options
Enigma
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
Ashton-Under-Lyne, Greater Manchester, UK Hybrid / WFH Options
Enigma
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or DataEngineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid More ❯
top private cloud companies by Forbes and most innovative companies by Fast Company. For more information visit . How you can help make a better world of work The Data Intelligence Camp is seeking a Data Engineer to join our Data Platform team. This team is responsible for supporting and improving Culture Amp's Data Platforms … through dataengineering, ML engineering and data science. The Data Intelligence Camp also focuses on developing reporting and analytics capabilities and enhancing Culture Amp's approach to data and platform management. You will Build, Enhance and Maintain Data Platforms within CultureAmp Design and build of data pipelines that ingest data from … sources. Ensure those pipelines are tested, performant and observable. Monitor end-user performance and provide guidance on optimisation opportunities. Collaborate with stakeholders to ensure we're responsibly managing our data in line with our privacy, security and compliance requirements. You have Experience with cloud data warehouses such as Redshift. Skills in modelling and querying data in SQL More ❯
Job Title: DataEngineering Manager Job Type: Full Time, Permanent Location: London, Hybrid Role Purpose At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven. The dataengineering manager ( DEM ) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a … wide range of data integrations. Main Responsibilities: Leadership & Strategy Work with the Director of DataEngineering and IT Leadership to enhance the company's data maturity. Maintain strong business alignment by engaging with leaders across domains and geographies. Ensure dataengineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Travelex
Job Title: DataEngineering Manager Job Type: Full Time, Permanent Location: London, Hybrid Role Purpose At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven. The dataengineering manager ( DEM ) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a … wide range of data integrations. Main Responsibilities: Leadership & Strategy Work with the Director of DataEngineering and IT Leadership to enhance the company's data maturity. Maintain strong business alignment by engaging with leaders across domains and geographies. Ensure dataengineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with More ❯