Associate Data Engineer

MAP•Austin, TX

About The Position

MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. About WPP MAP 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. Are you an aspiring Data Engineer with a passion to build, support, and maintain digital marketing solutions that offer real value? Are you interested in working with large global brands and learning how to solve complex challenges in the media analytics space? Then you might be the Associate Data Engineer we’re looking for! What will your day look like? As our new Associate Data Engineer, you will become part of our growing Data Insights and Science team. Working closely with experienced engineers, you will learn to employ modern technologies across cloud platforms to help brands deliver targeted retargeting, communication, and CRM strategies. More specifically, your tasks will include: Assisting in identifying, collecting, and integrating data from various sources by building and maintaining reliable data pipelines and models for BI/analytics. Writing clean SQL and code (Python, Spark, etc.) to optimize data workflows under senior guidance. Helping monitor daily ETL flows and data quality tools. Assisting in troubleshooting, debugging, and resolving data pipeline incidents. Collaborating with CRM developers, data scientists, data analysts, and product owners to deliver high-quality data. Learning best practices in cloud data architecture, migrations, and data management.

Requirements

0–2 years of experience (or a degree/bootcamp background) in data engineering, computer science, business intelligence, or a related quantitative field.
Good foundational coding skills in Python, SQL, or Scala.
Understanding of core data transformation (ETL/ELT) processes and relational databases.
Basic exposure to cloud platforms (GCP, AWS, or Azure) and modern data stack tools (e.g., dbt, Airflow, BigQuery, or Snowflake) through projects, coursework, or internships.
Familiarity with version control tools like GitHub/Git.
Basic understanding of data quality management principles (cleansing, validation, profiling).
Strong analytical skills and a desire to keep data organized and clean.
Proficiency in English (written and verbal).

Nice To Haves

A strong team-player mindset and an open attitude.
Eagerness to learn, solve problems pragmatically, and continuously develop your technical skillset.
Ability to communicate ideas clearly and ask questions when facing new challenges.

Responsibilities

Assisting in identifying, collecting, and integrating data from various sources by building and maintaining reliable data pipelines and models for BI/analytics.
Writing clean SQL and code (Python, Spark, etc.) to optimize data workflows under senior guidance.
Helping monitor daily ETL flows and data quality tools.
Assisting in troubleshooting, debugging, and resolving data pipeline incidents.
Collaborating with CRM developers, data scientists, data analysts, and product owners to deliver high-quality data.
Learning best practices in cloud data architecture, migrations, and data management.