10 hours ago
Copenhagen, DenmarkEntry Level
Responsibilities
- Develop, test, and review data pipelines and related code with guidance from experienced engineers.
- Collaborate with product managers, analysts, and data scientists on defined features and improvements.
- Build and maintain data-quality checks, documentation, and basic governance practices.
- Investigate pipeline failures, data inconsistencies, and operational issues and contribute fixes with mentorship.
- Learn the data platform, tooling, and codebase through hands-on development, feedback, and code reviews.
- Contribute ideas and improvements to team practices, data quality, and reliability.
Requirements
- Early-career experience in data engineering, analytics engineering, data-focused software development, or related internships, graduate roles, courses, personal projects, bootcamps, or open-source contributions.
- Practical experience working with data in at least one programming language such as Python, Go, or Scala.
- Basic understanding of software engineering fundamentals, algorithms, data structures, and data processing.
- Familiarity with Git, testing, or basic CI/CD workflows, or motivation to develop these skills.
- Exposure to GCP, AWS, or Azure, or strong interest in learning cloud practices in production.
- Clear communication skills and willingness to ask questions, explain work, and seek support.
- Curiosity about data quality, privacy, reliability, and continuous learning.
- Nice-to-have familiarity with Spark, SQL, batch or stream processing, Docker, Kubernetes, Terraform, monorepos, AdTech, MarTech, data privacy, or responsible handling of sensitive data.
Benefits
- Hybrid work arrangement with teams in the office around four days per week, with accommodations or flexibility discussable during the interview process.
- Mentorship, continuous learning, and opportunities to work with experienced engineers.
- Opportunity to influence large-scale projects and global data infrastructure.
- Challenging work with creative problem solvers and collaborative teams.
Categories
Data Engineering
About WPP
WPP is a public advertising and marketing services group that provides creative, media, data, and public relations solutions to global brands. It operates agency networks including Ogilvy, VML/GroupM, Grey, and AKQA, generating revenue from agency fees and media investment management. Founded in 1971 and headquartered in London, it serves clients across 100+ markets worldwide.