Data Platform DevOps Engineer

THE ROLE The Data Platform DevOps Engineer is responsible for building and maintaining the CI/CD pipelines, infrastructure automation, and operational tooling that powers the enterprise data lakehouse. This role ensures the platform is reliable, scalable, cost-optimized, and continuously delivered with high engineering velocity.   ***This position is open to candidates currently based in Hungary who have the legal right to live and work in the country. Only shortlisted candidates who meet these requirements will be contacted regarding next steps. KEY 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 Honeycomb 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 instance usage, 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     REQUIRED QUALIFICATIONS    ▸  3+ 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   PREFERRED QUALIFICATIONS    ▸  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 Dynata Can Offer You In addition to a competitive salary, we offer a comprehensive range of benefits tailored to each country. Our benefits are designed to support your well-being and help you achieve a healthy work-life balance. About Us Dynata is the world’s largest first-party data and insights platform. With a reach that encompasses 62 million consumers and business professionals globally, and an extensive…