10 gcp data engineer jobs found in Edinburgh

Job Description: EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com . Role: GCP Data Engineer (DBT, Cloud Composer, Python, Terraform) BU/Segment: Banking / Analytics Location: Edinburgh, United Kingdom (Flexible hybrid working) Employment Type: Umbrella Contract (Inside IR35) to start ASAP Experience: 10+ years...

Job Description: EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com . Role: GCP Data Engineer (DBT, Cloud Composer, Python, Terraform) BU/Segment: Banking / Analytics Location: Edinburgh, United Kingdom (Flexible hybrid working) Employment Type: Umbrella Contract (Inside IR35) to start ASAP Experience: 10+ years...

Job Description: EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com . Role: GCP Data Engineer (DBT, Cloud Composer, Python, Terraform) BU/Segment: Banking / Analytics Location: Edinburgh, United Kingdom (Flexible hybrid working) Employment Type: Umbrella Contract (Inside IR35) to start ASAP Experience: 10+ years...

Role Title: OpenShift Infrastructure Engineer (Data Protection Specialist) Key Responsibilities NetBackup Integration: Deploy and configure the NetBackup Kubernetes operator using Helm charts within Red Hat OpenShift clusters. Virtualization Protection: Implement and manage data protection strategies for Red Hat OpenShift Virtualization VMs and persistent volumes. Backup Policy Management: Create automated policies to discover and protect namespaces, ensuring rapid recovery of applications and VMs. Data Protection Strategy : Design and implement backup/recovery strategies for Kubernetes apps, OpenShift Virtualization VMs, and hybrid workloads. Monitoring & Troubleshooting : Monitor backup jobs, resolve failures, perform restores, and address connectivity issues (Firewalls, storage). Data Mover Setup: Configure NetBackup Elastic Data Mover Pods to move snapshot backups to off-cluster media, including NetBackup appliances or cloud storage....

Glasgow, United Kingdom | Posted on 07/04/2026 Design, develop, and troubleshoot secure, scalable AI-enabled applications. 5+ years of software engineering experience with practical cloud-native experience on GCP. Proficiency in Python, Java, Go, and TypeScript. Expertise in AI model deployment, fine-tuning, and implementing guardrails. Develop and maintain CI/CD pipelines for AI/ML workflows. Collaborate with data science and engineering teams to deliver AI solutions aligned with business needs.

Location: Remote (must have access to a physical Mac) Fluent Language Skills Required: English Why This Role Exists Supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments. What You’ll Do Depending on the task phase, you may be asked to complete one or both of the following: Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements Follow provided staging...

Job Title: Data Programme Manager Location: Any Deloitte office location outside London (e.g. Birmingham, Leeds, Cardiff, Manchester), travel to London is on an adhoc basis Duration: 12 months Contract Start Date : ASAP Day Rate: Competitive (inside IR35)   Deloitte Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. Role Purpose We are looking for a highly experienced and robust Data Programme Manager to lead a strategic programme focused on building an "AI-ready data landscape". You will oversee the implementation of various data tools, driving extensive...

Location: Remote (must have access to a physical Mac) Fluent Language Skills Required: English Why This Role Exists Supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments. What You’ll Do Depending on the task phase, you may be asked to complete one or both of the following: Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements Follow provided staging...

Wherever you find ambitious companies investing in their people, you’ll find Learning Pool Learning Pool is among the fastest growing e-learning companies in the world, servicing more than 2,000 customers and 24 million learners globally. Our expert team creates the content and technology solutions that engage and empower modern leaders, using pioneering technology and creative content that we build, deliver and maintain. We’re passionate about customer success and our customers trust us to deliver long lasting value, a great return on investment and excellent customer service. Learning Pool welcomes passionate people from all kinds of backgrounds. We are a diverse team working in offices, and remotely, across Europe and North America. We take great pride in our shared work and are committed to building great software in a sustainable way. So, if you’ve got what we’re looking for and the desire to join a team that values creativity and empowerment, then get in...

Location: Remote (must have access to a physical Mac) Fluent Language Skills Required: English Why This Role Exists Supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments. What You’ll Do Depending on the task phase, you may be asked to complete one or both of the following: Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements Follow provided staging...