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Who We Are VML 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 award-winning human-first work for clients including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. In 2026, VML was named Campaign’s Global Network of the Year and ranked #2 Creative Network of the Year at Cannes Lions. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore. VML is part of WPP , the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. For more information, please visit www.vml.com and follow along on LinkedIn #WeAreVML. 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 platform operates at 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, and highly reliable systems. WHO WE ARE LOOKING FOR We are seeking a skilled Data Platform Engineer to design, build, evolve, and optimize our cloud infrastructure, CI/CD pipelines, and deployment processes for our global data and AI platform. You will collaborate closely with data scientists, data engineers, 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 to leverage new 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 or Google Cloud Platform that support Spark data analytics and AI workloads Implement Infrastructure as Code using HashiCorp Terraform Build secure multi-account / cross-cloud environments Optimize cost efficiency for high-scale data workloads and low latency microservices Enable visibility on performance and cost metrics per environment and workload Deploy and manage clusters with Kubernetes with containerized data workloads and microservices Implement blue/green and canary deployment strategies Build robust automations using tools such as GitHub Actions, GitLab CI/CD, or Argo Workflows Automate testing, security scans, and compliance checks Assist other team members in architectural choice of cloud services Enforce a small, coherent and flexible configuration surface to reduce deployment 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 in Data Platform Engineering, Cloud Engineering, DataOps or Site Reliability Engineering (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 Strong experience building and maintaining CI/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 of security principles, 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 when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular 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. When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy . California residents should read our California Recruitment Privacy Notice . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.