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Data Engineer Associate Director – Publicis Global Delivery (PGD) Location: Bogota, D.C., Capital District, Colombia Publicis Global Delivery (PGD) is the industry‑leading globally connected capability platform of Publicis Groupe. It combines talent, technology, and operations to deliver amazing solutions for clients, with expertise across Media, Data, Technology, Commerce & Production worldwide. PGD is comprised of the best talent and ways‑of‑working, enabling global scale, innovation, and transformation each day. Culture, growth, and wellbeing underline all aspects of PGD. 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. 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. English at least B2. Experience: 10+ years of experience in data engineering roles with a focus on large‑scale data processing. Technical Proficiency 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 grade data‑centric solutions. Additional Information Knowledge of ETL tools such as Alteryx. Experience with data visualization tools like Tableau to support client‑facing insights. Seniority level Director Employment type Full‑time Job function Management, Strategy/Planning, and Information Technology Industries Technology, Information and Media #J-18808-Ljbffr