← Back to list

Job
· Mid-level
Data Platform DevOps Engineer
Data Engineer
• Mid-level
• Remote
• Full-time
•
Hungary
You'll build and maintain the CI/CD pipelines, infrastructure automation, and operational tooling powering an enterprise data lakehouse, keeping the platform reliable, scalable, and cost-optimized.
Stack
Responsibilities
- ▹Design and maintain CI/CD pipelines for data pipeline deployments using GitHub Actions, Jenkins, or GitLab CI
- ▹Author and manage Infrastructure-as-Code (IaC) using Terraform and Helm for lakehouse components
- ▹Manage Kubernetes clusters for orchestration workloads (Airflow, Spark operators, DataHub)
- ▹Implement platform observability: logging, metrics, and alerting using Prometheus, Grafana, and OpenTelemetry
- ▹Automate environment provisioning for development, staging, and production data platform environments
- ▹Collaborate with data engineering and security teams to enforce policy-as-code and configuration standards
- ▹Manage cloud cost optimization strategies including spot instances, auto-scaling, and resource rightsizing
- ▹Develop runbooks, SOP documentation, and on-call playbooks for platform operations
- ▹Drive SLA compliance through proactive capacity planning and incident response
- ▹Evaluate and introduce new DevOps tooling to improve platform engineering productivity
Requirements
- ▹5+ years in DevOps, platform engineering, or SRE roles
- ▹Strong proficiency with Terraform, Helm, and Kubernetes (EKS, AKS, or GKE)
- ▹Experience with CI/CD platforms: GitHub Actions, Jenkins, GitLab CI/CD, or ArgoCD
- ▹Hands-on experience deploying and managing data platforms on AWS, Azure, or GCP
- ▹Proficiency in scripting: Bash, Python, or Go for automation
- ▹Experience with container orchestration, Docker, and microservices deployment patterns
- ▹Knowledge of monitoring and observability tools: Honeycomb, Grafana, ELK stack, Datadog
- ▹Bachelor's degree in Computer Science, Engineering, or equivalent experience
Nice to have
- ▹Experience with Databricks Terraform provider or Snowflake deployment automation
- ▹Knowledge of GitOps workflows with ArgoCD or Flux
- ▹Certifications: CKA (Certified Kubernetes Administrator), AWS DevOps Professional, HashiCorp Terraform
What we offer
- ▹Competitive salary
- ▹Comprehensive, country-tailored benefits supporting well-being and work-life balance
About the company
Dynata is the world's largest first-party data and insights platform, with a reach of 62 million consumers and business professionals globally and an extensive library of individual profile attributes.
Education: Alapszakos diploma (BSc) számítástechnika, mérnöki terület vagy azzal egyenértékű tapasztalat
Similar jobs

Job
· Mid-level
Data Engineer - Tieto Tech Consulting (m/f/d)
Tietoevry
DatabricksPower BI
+4
💰 Salary: not specified
🌍 Remote
🗣️ EN
Himalayas

Job
· Mid-level
Big Data Engineer | Remote - Contract
Xperteez Technology
AI/MLFlinkData Science
+4
💰 Salary: not specified
🌍 Remote
🗣️ EN
Himalayas

Job
· Mid-level
DevOps Data Engineer (Digital Marketing sphere)
Coherent Solutions
FlinkArgocd
+8
💰 Salary: not specified
🌍 Remote
🗣️ EN
Himalayas

Job
· Mid-level
Data Platform Engineer
Block Labs
BigqueryClickhouseCloudformation
+7
💰 Salary: not specified
🌍 Remote
🗣️ EN
Himalayas

Job
· Mid-level
Data Engineer
EUROPEAN DYNAMICS
Databricks
+4
💰 Salary: not specified
🌍 Remote
🗣️ EN
Himalayas

Job
· Mid-level
Data Engineer - Spark Developer
EUROPEAN DYNAMICS
Databricks
+2
💰 Salary: not specified
🌍 Remote
🗣️ EN
Himalayas