{"id":405884,"url":"https://alion.io/job/vml-data-engineer","title":"Data Engineer","company":{"id":456023,"name":"VML","domain":"vml.com","url":"https://alion.io/company/vml","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":96,"ghost_share":0,"stale_share":0.844,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Copenhagen, Denmark"],"countries":["DK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":95000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":345},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2025-11-18T14:31:33Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-01T02:37:00Z","board_verified":true,"closed_at":null,"days_open":316,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":316},"description":"Who We Are\nVML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a Human First philosophy, VML is known for its innovative work for brands and consistently ranks among the world’s leading creative companies, including the WARC Creative 100. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore. \nVML 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. \nFor more information, please visit www.vml.com and follow along on LinkedIn #WeAreVML.\nAbout Us\nWe believe data, creativity and technology work best when they work together. Our mission is to shape the next era of media - one that’s smarter, more connected, and powered by insight. We’re part of a global network that values openness, collaboration and bold ideas. Here, you’ll have the chance to make an impact and grow your career and skill set with some of the best minds in the industry.\nThe Role\nWe’re looking for a Data Engineer to contribute to our Open Intelligence data initiative, helping to build and maintain our core data capabilities. You’ll play a key role in building and maintaining the data connectors that feed data to Open Intelligence. This role requires good communication skills and an understanding of brand, adtech, and marketing data, as well as the benefits of well-engineered data pipelines. You will contribute to creating systems that keep our global media ecosystem running, ensuring that data is reliable, scalable, and reflects the needs of the business.\nThis 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.\nThe role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.\nWhat You’ll Do\nBuild, manage and maintain data extraction pipelines with the help of AI coding assistants.\nPre-aggregate data in clean rooms using SQL-dialects when client or partner concerns demand it.\nFetch data through REST APIs using Python or Node.js when needed.\nCollaborate with our Product organization regarding the addition of new data sources or changes to existing ones, and translate those requirements into maintainable code.\nContribute to identifying and addressing technical debt and inefficiencies within our data platform.\nSupport our regional teams in following best practices for adding their local datasets to Open Intelligence.\nCollaborate closely with analysts and data scientists who leverage Open Intelligence, to make sure that data connectors work as expected.\nContribute to designing and building strong data governance and quality frameworks to ensure connectors produced are accurate and work consistently throughout their lifetime.\nStay curious, explore new tools, techniques, and technologies that can help us move faster and smarter.\nWhat You’ll Bring\nStrong communication skills - you can effectively explain technical concepts to various audiences.\n2-4 years of experience in data engineering.\nFamiliarity with adtech- and/or martech data and terminology.\nInterest in leveraging AI coding assistants and prompt engineering to enhance productivity.\nSolid experience with data wrangling in a language such as SQL, Python, or Scala.\nInterest in applying or learning the Scala language for data processing.\nUnderstanding of strongly typed computer languages and compilers, and an appreciation for finding data processing errors early.\nProficiency in one or more modern data ecosystems - e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.\nExperience working with CI/CD, version control, and testing best practices.\nExperience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.\nA passion for data, technology, and computer languages.\nA proactive approach to solving problems and improving systems.\nWhat We Offer\nWe believe great work starts with great people. At WPP Media, you’ll find:\nA supportive, inclusive culture built on trust, ambition and collaboration.\nAccess to world class learning and development opportunities across the WPP network.\nCompetitive salary, benefits and a focus on wellbeing.\nThe chance to make a real impact shaping how data powers the next generation of media.\nWe 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.\nWPP (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. \nWhen 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.","description_format":"text","description_chars":5843,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-06T01:19:00Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.177,"p_room":0.28,"age_days":315,"expected_fill_days":50,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vml-data-engineer","json_url":"https://alion.io/job/vml-data-engineer.json","meta":{"generated_at":"2026-10-01T05:03:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4701,"day_limit":5000,"remaining_today":299,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}