{"id":406206,"url":"https://alion.io/job/vml-senior-data-engineer","title":"Senior 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":0.833,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":48000,"max_usd":125000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":4,"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":"Kubernetes","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":"2025-11-18T15:35:16Z","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 Team Leader for a team of Data Engineers to accelerate our Open Intelligence data initiative, taking our data capabilities to the next level. You’ll play a central role in designing, building and maintaining the data connectors that feed data to Open Intelligence. It is a role that requires good communication skills and understanding of brand, adtech and marketing data and the benefits of well-engineered data pipelines. You will create 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’s already comfortable delivering reliable data solutions, but who is also interested in leveraging new development- and testing technologies. It is also a leading role, where you will be expected to mentor the more junior members of the team, and have an overview of the activities on the team. Finally, it is a role that requires an individual who can communicate effortlessly with both stakeholders in the Product organization, and engineers on other teams.\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 demands it.\nFetch data through REST APIs using Python or Node.js when needed.\nCommunicate with our Product organization about addition of new data sources or changes to existing ones, and manifest those conversations as maintainable code.\nProactively identify and address technical debt and inefficiencies within our data platform.\nGuide our regional teams in following your best practices for adding their local datasets to Open Intelligence, and act as a global knowledge center for data onboarding.\nCollaborate closely with analysts and data scientists who leverage Open Intelligence, to make sure that data connectors work as expected.\nDesign and build strong data governance and quality frameworks to make sure 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\nExcellent communication skills - you can translate technical concepts into language anyone can understand.\n4+ years of experience in data engineering.\nExperience with adtech- and/or martech data and terminology.\nInterest in leveraging AI coding assistants and prompt engineering to enhance productivity.\nDeep experience with data wrangling in a language such as SQL, Python or Scala.\nInterest in applying or learning the Scala language for data processing.\nSubstantial experience with strongly typed computer languages and compilers. You understand why it is essential to find data processing errors as close to the point in time they are made as possible.\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, Kubernetes or Terraform.\nA passion for data, technology and computer languages.\nA proactive approach to solving problems and improving systems.\nTeam lead experience or project management experience is a plus. So is experience writing Scala code.\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":6268,"description_truncated":false,"requirements":{"experience_years_min":4,"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":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.224,"p_room":0.28,"age_days":316,"expected_fill_days":50,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vml-senior-data-engineer","json_url":"https://alion.io/job/vml-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T09:52:51Z","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":709,"day_limit":5000,"remaining_today":4291,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}