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4 часа назад

Data Platform Engineer (AdTech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Denmark
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Platform Engineer (AWS/GCP/Kubernetes): Designing and optimizing cloud infrastructure and CI/CD pipelines for a global data and AI platform with an accent on scalability, reliability, and cost efficiency. Focus on implementing Infrastructure as Code, managing containerized workloads, and building robust automation for high-scale AdTech services.

Location: Hybrid in Copenhagen, Denmark (office attendance approx. 4 days a week)

Company

hirify.global is a leading creative company part of WPP, combining brand and customer experience to drive growth for global blue-chip clients.

What you will do

  • Design scalable cloud-native systems on AWS or GCP to support Spark data analytics and AI workloads.
  • Implement Infrastructure as Code (IaC) using HashiCorp Terraform to build secure multi-account and cross-cloud environments.
  • Deploy and manage Kubernetes clusters with containerized data workloads and microservices.
  • Build robust CI/CD automations using GitHub Actions, GitLab CI/CD, or Argo Workflows.
  • Optimize cost efficiency and performance metrics for high-scale data workloads and low-latency services.
  • Collaborate with data scientists, engineers, and QA to streamline development workflows and improve reliability.

Requirements

  • 5+ years of experience in Data Platform Engineering, Cloud Engineering, DataOps, or SRE in enterprise environments.
  • Strong hands-on experience with AWS or GCP and proven expertise in Terraform.
  • Deep experience in containerization and orchestration using Docker and Kubernetes.
  • Solid scripting skills in Bash, Python, or similar languages with an automation-first mindset.
  • Strong understanding of networking concepts (VPCs, load balancing, DNS, IAM).
  • Must be based in or able to work from the Copenhagen office (hybrid, average 4 days/week)

Nice to have

  • Knowledge of Golang.
  • Experience with observability and monitoring tools such as Datadog, Prometheus, or Elastic stack.
  • Experience supporting multi-region, globally distributed systems.

Culture & Benefits

  • Hybrid work approach focused on fostering creativity and collaboration in the office.
  • Opportunity to work within a massive global network across 55+ markets.
  • Engagement with high-profile, world-leading brand partners.
  • Inclusive culture committed to respect and equal opportunity for career progression.

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