Senior Data Engineer — AI & Cloud Data Platforms

Publicis Sapient; Bogotá; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits for you and family

Generous paid leave

Wellness program

Learning & development opportunities

Descripción de la vacante

Publicis Sapient is seeking a Senior Data Engineer to design, build, and modernize enterprise-scale data platforms across cloud environments. You will work across ingestion, lakehouse architectures, orchestration, governance, APIs, and modernization initiatives, delivering scalable, cloud-native solutions.

You will bridge hands-on software and data engineering with technical design leadership, owning architecture decisions and engineering standards while contributing to implementation.

Formación

• 6+ years of experience in Data Engineering, Data Platform Engineering, or related fields with ownership of production systems.
• Advanced Python and SQL development experience in enterprise environments.
• Strong hands-on experience with Spark or PySpark for large-scale distributed data processing.
• Deep expertise in AWS or Azure and practical experience working within a second cloud ecosystem.
• Strong data modeling capabilities including Star Schema, Snowflake Schema, Slowly Changing Dimensions (SCD Type 2), Medallion Architecture, and Lakehouse patterns.
• Experience designing and implementing CI/CD pipelines, automated testing, and deployment practices for data platforms and services.
• Strong relational database engineering and schema design experience.
• Experience building production-grade data services, APIs, or backend components.
• Proven experience designing, integrating, or operating AI and LLM-enabled solutions in enterprise environments.
• Proven ability to author, communicate, and defend technical designs with engineering stakeholders.
• Demonstrated ability to balance solution design responsibilities with hands-on implementation and delivery ownership.

Conocimientos

Python & SQL

Spark / PySpark

Cloud: AWS / Azure

Data modeling

CI/CD for data

Relational databases

Data APIs

AI & LLM solutions

Technical communication

Descripción del empleo

Publicis Sapient is seeking a Senior Data Engineer to design, build, and modernize enterprise-scale data platforms across cloud environments. You will work across ingestion, lakehouse architectures, orchestration, governance, APIs, and modernization initiatives, delivering scalable, cloud-native solutions.

You will bridge hands-on software and data engineering with technical design leadership, owning architecture decisions and engineering standards while contributing to implementation.