Data Engineer
Summary
Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Data Engineer – Publicis Global Delivery (PGD)
We are looking for professionals in Data Engineering to join our team and lead high-impact projects in data management, integration, and analytics. The role involves designing, building, and maintaining scalable data solutions that support strategic decision-making in Big Data and Cloud environments, while ensuring data quality, integrity, and availability. You will collaborate closely with cross-functional teams, bringing technical expertise to transform complex datasets into actionable insights.
Responsibilities
- Design, develop, and maintain robust data pipelines (ETL/ELT) to integrate and transform data from diverse sources
- Build and optimize data models for analysis, ensuring governance and data quality
- Develop and optimize SQL queries and Python scripts for large-scale data processing
- Leverage technologies such as Databricks, Spark, Hadoop, BigQuery, or similar for big data processing
- Implement and monitor data validation, quality checks, and pipeline performance
- Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into technical solutions
- Apply engineering best practices: version control (Git), documentation, testing, and CI/CD
- In senior roles: mentor team members, set technical standards, and act as a reference point for best practices
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field
- 3+ years of experience in Data Engineering or Data Science with large-scale projects
- Strong proficiency in Python and SQL
- Hands‑on experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of Big Data frameworks such as Databricks, Spark, or Hadoop
- Experience with data transformation and orchestration tools (dbt, Airflow, ADF, etc.)
- Familiarity with data visualization tools (Tableau, Looker Studio)
- Background in statistical analysis (time series, audience modeling) is a plus
- Intermediate to advanced English, with the ability to communicate technical concepts to different audiences
- (Nice to have) Experience in digital media or marketing analytics
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Accounting/Auditing, Consulting, and Information Technology
Industries
Marketing Services and Data Infrastructure and Analytics>