Software Engineer – Predictive Analytics

snappi

Software Engineer developing systems that translate data and models into products for a neobank. Join Snappi in reshaping the financial landscape with predictive analytics solutions.

Posted 5/18/2026full-timeAthens or Ioannina • 🇬🇷 GreeceMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerFluxGoGoogle Cloud PlatformGrafanaGRPCJavaKotlinKubernetesNoSQLPrometheusPythonScalaSQL

About the role

Key responsibilities & impact

You’ll design and build the systems that turn data and models into products.
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

What you’ll need

A Master’s degree in computer science, electrical engineering, mathematics, physics, or other relevant degree
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

Benefits

Comp & perks

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 to foster bonding, well-being, and a strong company culture
Daycare allowance to help cover preschool costs
Additional school monitoring days
Savings plan for your children

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

backend engineeringdatabasesSQLNoSQLstatically-typed languagesC#F#JavaKotlinPython

Soft Skills

collaborative workflowswriting tested codemaintainable code

Certifications

Master’s degree in computer scienceMaster’s degree in electrical engineeringMaster’s degree in mathematicsMaster’s degree in physics