DataOps Engineer

TL;DR

DataOps Engineer (Big Data/AI): Create, operate, and support Big Data and AI infrastructure environments on-premise or cloud with an accent on K8s clusters, Data Lake (S3 + Trino), and Spark deployment. Focus on performance tuning, capacity planning, monitoring, data protection, and architecture development for high-load distributed systems.

Limassol (Cyprus), role based in office with full relocation support

from 5 500 €/month gross

Company

International fintech company developing Data Lake for ambitious projects.

What you will do

• Manage K8s cluster environments on bare-metal, including allocation, configuration, capacity planning, performance tuning, and monitoring.
• Implement and operate Data Lake (S3 + Trino).
• Operate and develop on-premise AI infrastructure.
• Deploy and maintain Spark on K8s.
• Ensure data protection per security policies and provide monitoring/alerting.
• Participate in Data Platform architecture development.

Requirements

• Spoken and written at least Intermediate English
• 5+ years experience with containers (Docker, containerd) and orchestrators (Kubernetes, Rancher).
• Excellent Linux knowledge.
• Strong Java/Python/Go and SQL skills.
• Experience with Big Data Processing, Data Lake building, Hadoop/Spark (advantageous).
• Knowledge of S3 object storage, automation (Puppet, Chef, Ansible), CI/CD principles.
• Understanding of disaster recovery, incident management, security best practices.

Culture & Benefits

• Competitive salary with annual bonus.
• Top-tier health, dental, vision, mental health insurance for family + life insurance.
• 21 days annual leave, public holidays, paid sick/maternity/paternity leave.
• Unlimited learning: courses, English lessons, career development; education allowance.
• Relocation support (flights, housing, visas); expat tax perks up to 50% exemption.
• Company car, gym access, sports clubs, employee programs, share scheme, offsites.

Hiring process

• Intro call with Recruiter (30 min).
• English check (if needed).
• Tech interview (90 min).
• Behavioral interview (60 min).