Map
Data Engineer
Salary not disclosedOnsite
- Data Insights and Science
- London
- Yesterday
Newly posted
About the role
The Data Engineer will join the Data Insights and Science team to build, support, and maintain digital marketing solutions. You will work with global brands to design data architectures, build high-quality data pipelines, and ensure data quality across multiple cloud platforms to support business intelligence and CRM initiatives.
Responsibilities
- Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models.
- Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
- Build monitoring procedures and 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 support business initiatives.
- Consult data analytics teams to ensure technical best practices are followed.
- Design data architectures and collaborate in data migrations in cloud environments.
Required skills
- Data engineering
- Spark
- Python
- Scala
- SQL
- Cloud data warehousing
- ETL
- Google Dataflow
- Looker
- DBT
- Airflow
- Javascript
- Database management
- Data quality management
- GitHub
Nice to have
- Kubernetes
About the Company
MAP | WPP Enterprise Solutions designs, builds, and operates growth systems for competitive businesses. As part of WPP, the company leverages a global network of experts in engineering, platforms, consulting, and data to deliver tailored growth solutions for leading brands.