2 months ago
Responsibilities
- Assist in identifying, collecting, and integrating data from multiple sources.
- Build and maintain reliable data pipelines and data models for BI and analytics.
- Write clean Python, SQL, or Scala code to optimize data workflows under senior guidance.
- Monitor daily ETL flows and data quality tools.
- Troubleshoot, debug, and resolve data pipeline incidents.
- Collaborate with CRM developers, data scientists, data analysts, and product owners to deliver high-quality data.
- Learn and apply 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.
- Foundational coding skills in Python, SQL, or Scala.
- Understanding of ETL/ELT processes and relational databases.
- Basic exposure to GCP, AWS, or Azure and modern data stack tools such as dbt, Airflow, BigQuery, or Snowflake through projects, coursework, or internships.
- Familiarity with GitHub or Git.
- Basic understanding of data quality management, including cleansing, validation, and profiling.
- Strong analytical skills, clear communication, teamwork, and a willingness to learn.
- Proficiency in written and verbal English.
Tech Stack
Categories
Data Engineering
About MAP
MAP (VML MAP) builds and runs marketing automation, personalization, CRM, and loyalty programs for large consumer and enterprise brands. It provides consulting, implementation, and managed operations across martech stacks, partnering with platforms such as Adobe, Salesforce, Braze, AWS, Google, and Microsoft. Headquartered in Copenhagen with 14 offices across the Americas, Europe, and Asia, MAP operates as part of VML, the WPP agency network.