Company description

Publicis General Delivery (PGD); Publicis Groupe’s industry leading globally connected capability platform. Where talent, technology & operations combine to delivery amazing solutions for our clients. Expertise across Media, Data, Technology, Commerce & Production in all regions of the world.

PGD is comprised of the best talent, and ways-of-working, which enables global scale, innovation and transformation, each day.

Culture, growth and wellbeing underline all aspects of Publicis Global Delivery.

#WeArePGD

Responsibilities

Innovation and Evaluation

- Stay informed on emerging data technologies and tools.
- Regularly evaluate existing tools and procedures and propose improvements where applicable.

Risk Management and Compliance

- Identify and mitigate risks associated with data integration and processing.
- Ensure data processing practices comply with industry standards and regulations.

Data Integration and Management

- Own and manage all partner data relationships to ensure seamless data integration.
- Develop and maintain the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
- Ensure continuous synchronization of data across platforms and partners.

Cross-Channel Data Harmonization

- Fully own the harmonization process of cross-channel data, creating a unified data stream.
- Implement processes for regular updating and validation of cross-channel data consistency.

Quality Assurance (QA) and Best Practices

- Develop and enforce best practices for data quality assurance and data governance.




- Implement automated systems for data quality checks and error notifications.

Automation and Optimization

- Automate repetitive data processing tasks to improve efficiency and accuracy.
- Continuously optimize data workflows to ensure high performance and reduced latency.

Documentation and Reporting

- Maintain comprehensive documentation for all data processes, pipelines, and integrations.
- Ensure transparency of processes and facilitate knowledge sharing within the team.

Collaboration and Training

- Work closely with analytics and account teams to understand data needs and priorities.
- Provide training and support for staff on using dashboards and understanding data flows.

Qualifications

Required Skills and Experience:

- Education: Bachelor’s Degree in Computer Science, Mathematics, or a related engineering field.
- Experience: 10+ years of experience in data engineering roles with a focus on large-scale data processing.

Technical Proficiency (Required):

- Advanced Python skills for data manipulation and pipeline development.
- Strong expertise in relational SQL databases, particularly BigQuery.
- Hands-on experience with Databricks or Spark for big data processing.
- Experience with integration of data from diverse sources.
- Experienced in design, implementation and support/evolution of enterprise grate Data centric solutions.
- Experience in Scalable, Secure, Enterprise Grade data architecture solutions definition

Additional information

Desirable:

- Knowledge of ETL tools such as Alteryx.
- Experience with data visualization tools like Tableau to support client-facing insights.

📌 Data Engineering Associate Director (Bogotá, D.C.)
🏢 Publicis Groupe
📍 Bogotá, D.C.