7 months ago
Copenhagen, DenmarkMid Level
Responsibilities
- Build, manage, and maintain data extraction pipelines and data connectors.
- Pre-aggregate data in clean rooms using SQL dialects when required by clients or partners.
- Fetch data through APIs using Python or Node.js.
- Translate product and stakeholder requirements for new or changed data sources into maintainable code.
- Identify and address technical debt and inefficiencies in the data platform.
- Support regional teams in adding local datasets according to best practices.
- Collaborate with analysts and data scientists to ensure connectors work as expected.
- Help design and build data governance and data quality frameworks.
- Explore new tools and techniques, including AI coding assistants, to improve productivity.
Requirements
- 2–4 years of experience in data engineering.
- Familiarity with adtech or martech data and terminology.
- Experience with data wrangling using SQL, Python, or Scala.
- Interest in applying or learning Scala for data processing.
- Understanding of strongly typed computer languages and compilers.
- Proficiency in one or more of Databricks, Snowflake, BigQuery, InfoSum, or Redshift.
- Experience with CI/CD, version control, and testing best practices.
- Experience with cloud platforms such as GCP, AWS, or Azure.
- Experience with deployment abstractions such as Docker or Terraform.
- Strong communication skills and the ability to explain technical concepts to varied audiences.
- Interest in AI coding assistants and prompt engineering.
- A proactive approach to problem-solving and improving systems.
Benefits
- Supportive, inclusive culture focused on trust, ambition, and collaboration.
- Learning and development opportunities across the WPP network.
- Competitive salary, benefits, and wellbeing support.
- Opportunity to shape how data powers the next generation of media.
- Hybrid work arrangement based in the Copenhagen Nørrebro office, averaging four days per week in the office.
- Flexibility or accommodations may be discussed with the hiring team.
Tech Stack
Categories
Data Engineering
About VML
VML is a global marketing and advertising agency that designs brand experiences, customer journeys, and commerce programs for large consumer and enterprise brands. It operates in 55+ markets with principal offices including New York, London, and Singapore, and is part of WPP. Notable clients include Ford, Microsoft, Coca‑Cola, and Nestlé, spanning health, retail, and technology sectors.