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Software Engineer - Predictive Analytics

Snappi
CompanySnappi
CategoryUncategorised
LocationAthens
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted18 May 2026
Last verified3 Aug 2026
SourceEmployer career page (workable)
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Description
About Snappi   At Snappi, we're building a neobank from the ground up. Our mission is to empower financial freedom through technology, offering innovative and transparent digital banking solutions.   Join us in reshaping the financial landscape!  About the role We are looking for a software engineer to join the team that builds and runs the platform powering our predictive analytics work. If you like the idea of being close to data, models, and production systems all at once — and writing the code the rest of the company depends on — read on. The position is available at both our Ioannina and Athens offices. What you'll be doing You’ll design and build the systems that turn data and models into products. Concretely, that means: Building and maintaining APIs and services that connect our data, models, and downstream consumers Designing data pipelines that reliably deliver data on time and are straightforward to operate Owning services end-to-end: containerized, deployed on Kubernetes, and properly instrumented Helping build the MLOps foundations — training pipelines, feature stores, model serving, monitoring — alongside the analytics team Working alongside the predictive analytics team as engineering peers — translating their prototypes into systems that scale and last Requirements A Bachelor's or Master's degree in computer science, electrical engineering, mathematics, physics, or other relevant experience Solid grounding in backend engineering, databases (SQL and/or NoSQL), and distributed systems concepts Good command of Git and collaborative workflows (branching, pull requests, code review) A habit of writing tested, maintainable code Comfort with one or more statically-typed languages (C#, F#, Java, Kotlin, Scala, Go, or similar) and Python Experience building HTTP APIs (REST or gRPC) Hands-on experience with Docker; exposure to Kubernetes and ideally at least one major cloud provider (Azure, AWS, GCP) Awareness of modern observability practices — metrics, logs, traces (Prometheus, Grafana, OpenTelemetry, or similar) Nice to have Experience with GitOps tooling (ArgoCD, Flux) and infrastructure-as-code Some exposure to ML engineering or MLOps concepts — training pipelines, model serving, monitoring — or strong interest in growing into this area About experience level We’re open. The bar is high; the years aren’t. If you’re early-career and you read the list above and thought “I can learn the rest” — apply. If you’re senior and want to build foundational systems with a tight team — apply. Why this role You’ll work on problems that matter to the business, with a team that takes engineering seriously. The predictive analytics team are your closest collaborators, not your customers — we win or lose together. You’ll have real ownership, real autonomy, and the freedom to make the technical calls that come with building core systems. Why Join Snappi?  We foster a culture of innovation, trust, and continuous development. We focus on solutions and results. Your work will directly shape the future of banking, making financial services more accessible and impactful. If you're ready to make a difference, we’d love to hear from you!  Benefits At Snappi, we invest in your well-being, growth, and work-life balance with a benefits package designed to support both your personal and professional journey:  Competitive salary  Hybrid work flexibility  37-hour work week  Extra paid time off  Medical & Life insurance coverage  24/7 Mental Health support for you and your family  Employer-sponsored pension plan  Exclusive perks with special rates on banking products  Ongoing learning & career development opportunities  Team activities & events t
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