Data Platform Engineer (Resolve)

VML; København; Hybrid; DKK 900,000 - 1,300,000; Full time

Job summary

VML in Copenhagen is seeking a Data Platform Engineer to design, build, evolve, and optimize our cloud infrastructure and CI/CD pipelines for a global data and AI platform.

You will collaborate with data scientists, data engineers, QA, and IT to improve reliability, security, and scalability while implementing modern deployment strategies and automation.

Qualifications

• 5+ years of experience in Data Platform Engineering, Cloud Engineering, DataOps or SRE within enterprise-scale environments.
• Strong hands-on experience with cloud platforms such as Amazon Web Services or Google Cloud Platform.
• Proven expertise in Infrastructure as Code using HashiCorp (or equivalent IaC tooling).
• Deep experience containerizing and orchestrating applications using Docker and Kubernetes.

Responsibilities

• Design scalable cloud-native systems on AWS or GCP for Spark analytics and AI workloads.
• Implement Infrastructure as Code using Terraform and manage multi-account environments.
• Build and operate CI/CD pipelines and automation tooling.
• Deploy and manage Kubernetes clusters with containerized data workloads and services.
• Enable observability and monitoring across environments (Datadog/Prometheus/Elastic stack).

Skills

Cloud platforms

CI/CD pipelines

Automation scripting

Collaboration

Tools

Terraform

Docker

Kubernetes

GitHub Actions

Job description

Who We Are

VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy’s. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.

About WPP

WPP is the trusted growth partner for the world’s leading brands. We unitecutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counselin a single company –powered by exceptional talent and our agentic marketing platform, WPP Open,to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

Title : Data Platform Engineer

Level :Mid-Level Engineer, Data & Technology Solutions

Location :Copenhagen

Reporting to :Lead Engineer

About Open Intelligence

We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platformoperatesat the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry.
Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, andhighly reliablesystems.

WHO WE ARE LOOKING FOR

We are seeking a skilled Data PlatformEngineer todesign,build,evolve, andoptimizeour cloud infrastructure, CI/CD pipelines, and deployment processesfor our global data and AI platform. You will collaborate closely withdata scientists, dataengineers, QA, and IT teams to streamline development workflows, improve system reliability, and ensure secure, scalable infrastructure.This is a hands-on technical role for someone who is comfortable delivering reliable data solutions and is eager toleveragenew development and testing technologies. You will collaborate closely with team members and product stakeholders to ensure our data infrastructure meets evolving business needs.

WHAT YOU WILL DO:

• Design scalable cloud-native systems on platforms such as Amazon Web Services orGoogle Cloud Platformthat support Spark data analytics and AI workloads

• Implement Infrastructure as Code usingHashiCorpTerraform

• Build secure multi-account /cross-cloudenvironments

• Optimizecost efficiency for high-scaledataworkloadsand low latency microservices

• Enable visibility on performance and cost metricsper environment and workload

• Deploy and manage clusters with Kuberneteswith containerized data workloads and microservices

• Implement blue/green and canary deployment strategies

• Build robustautomationsusing tools such as GitHub Actions, GitLab CI/CD, orArgo Workflows

• Automate testing, security scans, and compliance checks

• Assistother team members in architectural choice of cloud services

• Enforce a small,coherentand flexible configuration surface to reducedeployment time and improve release confidence, in collaboration with other team members

• Champion DRY and DevOps principles across the team through code reviews, documentation, and shared tooling

WHAT YOU WILL NEED

5+ years of experience inData Platform Engineering,Cloud Engineering,DataOpsorSite Reliability Engineering (SRE)within enterprise-scaleenvironments

Strong hands-on experience with cloud platforms such as Amazon Web Services orGoogle Cloud Platform

Provenexpertisein Infrastructure as Code usingHashiCorp(or equivalentIaCtooling)

Deep experience containerizing and orchestrating applications using Docker and Kubernetes

• Strong experience building andmaintainingCI/CD pipelines

• Solid scripting skills (Bash, Python, or similar) with a strong automation-first mindset

• Golang knowledge is a plus

• Experience implementing observability and monitoring solutions such as Datadog, Prometheus, or the Elastic stack

• Strong understanding of networking concepts (VPCs, load balancing, DNS, IAM, security groups)

• Experience working with data-intensive, AI/ML, or marketing technology platforms at scale

• Knowledge ofsecurityprinciples, security best practices, and compliance standards (e.g., GDPR)

• Experience supporting multi-region, globally distributed systems

• Strong collaboration and communication skills, with the ability to partner across engineering, product, and data teams

• A proactive, ownership-driven mindset with a focus on reliability, scalability, and continuous improvement

If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team.

We believe the best work happens whenwe’rtogether, fostering creativity, collaboration, and connection.That’swhywe’veadopted a hybrid approach, with teams in the office around four days a week. If yourequireaccommodationsor flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions withoutdiscriminationor regard toparticular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we’re together, fostering creativity, collaboration, and connection. That’s why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

VML is a WPP agency (NYSE: WPP). For more information,please visit www.vml.com, andfollowalong on Instagram,LinkedIn, and X.

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