Data Platform DevOps Engineer

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.

▸  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

▸  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

▸  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.

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 library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. Dynata serves nearly 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe, and Asia-Pacific. Learn more at www.dynata.com.

At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.

For administrative purposes your personal data will be kept on record and will be disclosed and transferred both within and outside the European Economic Area, including the United States of America. We shall take all reasonable steps to prevent any unauthorized access to your personal data.