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Contexte Rattaché à la Global Tech & Data Platform , domaine Voice of Customer . Support fonctionnel et technique sur le produit Datahub Pipelines (data engineering). Environnement Google Cloud Platform (GCP) . Missions principales Analyser et résoudre des incidents complexes. Identifier les incidents récurrents et proposer des solutions pérennes. Traiter les demandes de services et questions des utilisateurs internes. Collaborer avec les équipes produit pour diagnostiquer, résoudre et prévenir les incidents. Accompagner les nouveaux utilisateurs (onboarding). Contribuer à l’automatisation et à l’amélioration continue des produits. Documenter et partager les résolutions pour capitaliser. Compétences techniques requises Cloud Computing : GCP (Confirmé – impératif) Data Engineering : Confirmé – impératif Observabilité & Monitoring : Datadog (Confirmé – important), Prometheus, Grafana Infrastructure as Code & Automatisation : Terraform, Ansible, Helm, Kubernetes (Confirmé – important) Scripting : Python, Bash, Go Gestion des alertes : PagerDuty

Description At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and two years ago we split out as a separate business. Starling Bank has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. We draw upon our experience as knowledgeable bankers, and best in class technologists to become the chosen option for these banks, and preferred partners for leading consultancies. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role As Engine is Starling's SaaS offering we hold all of the data that is needed to run our client banks. We need to model, extract, join, format and ultimately securely share data with our clients so they can get insights into their business, build regulatory reports and run marketing campaigns. We're already sharing millions of rows of data with our clients everyday and this is set to grow over the coming years. We're investing in our internal and external reporting tooling so we can give our clients better insights, faster and support internal operations of Engine. As a Data Engineer you'll be at the heart of our reporting tooling, adding new data features and improving how we expose new entities to our clients and operations teams. You'll also be helping to build tooling so we can get better visibility into data lineage, data quality and how accurate our documentation is. You'll also be assisting our platform engineers to improve modelling of new features in a way that helps clients to use the data later. Engine Engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . Day in the Life of a Software Engineer What you'll get to do Shape the future of data for Engine, including approaches, tooling and architecture. Develop data as a core product offering for Engine both internally and for our clients, working with and responding to client feedback and market analysis. Work across the boundary of software engineering and core data platform challenges. Understand, build and develop data integration and warehousing solutions. Deliver exceptional data solutions promoting a self service culture through trusted pipelines, quality checks, clear documentation, lineage, entity relationships and governance. Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc. Coach and mentor software engineers in the ways of data engineering across the organisation. Obtain a wide and varied understanding of how our internal teams and client banks operate. Work with cloud-based infrastructure (AWS, GCP) for hosting data solutions and applications. Collaborate with clients, solution architects and other engineers to help meet the client goals.