VML MAP
digital marketing
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at VML MAP. Skills: data engineering, big data, business intelligence, data science, Spark, Python, Scala, SQL, cloud data warehousing, data pipelines, data transformation, ETL, data quality management, data governance. Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes. Develop and optimize code to enable pipelines at minimum cost and ease of maintenance”
What You'll Achieve.
help our clients navigate change, capture opportunity and deliver transformational growth; help successful brands reach their next level in 1: 1 retargeting, communication, and CRM; ensure the supplied data supports the business initiatives; help them on their transformation journey to becoming truly customer-centric
Industry & Context.
solve problems in an analytical and pragmatic manner; Ability to think critically, identify issues autonomously, and propose corrective actions
What They're Looking For.
Must Have
Experience in data engineering, big data, business intelligence, or data science, Excellent SQL skills enabling large-scale data transformation and analysis, Programming experience in Javascript, Python, or similar
Nice to Have
Kubernetes would be an advantage, GCP, but AWS or Azure would also suffice
What You'll Do.
and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes
Develop and optimize code to enable pipelines at minimum cost and ease of maintenance
Build monitoring procedures & tools to ensure solid ETL flows and data quality
Design processes and tools to correct ETL incidents
Design data architectures and collaborate in data migrations in cloud environments
How You'll Work.
Team & Collaboration
Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives; Consult our data analytics teams to ensure best practices on the technical use of data are followed; You will join a team of highly skilled Architects, Data Scientists, and Consultants; You will also get to work closely with experts from other Technology, Creative, and Client Teams; Build great relationships with your team and stakeholders
Communication Scope
communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team
Full Job Description
About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. Are you a Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Data Engineer we’re looking for! What will your day look like? As our new Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include: Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes. Develop and optimize code to enable pipelines at minimum cost and ease of maintenance. Build monitoring procedures & tools to ensure solid ETL flows and data quality. Design processes and tools to correct ETL incidents. Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives. Consult our data analytics teams to ensure best practices on the technical use of data are followed. Design data architectures and collaborate in data migrations in cloud environments. Who are you going to work with? You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through a
Applying for this Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about VML MAP?
Real rants from real employees. Read before you apply.