Data Engineer

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>

#J-18808-Ljbffr