Your mission
As the Junior Manager Data Engineering, you will be part of the DTC data engineers team, shaping the technical vision and execution of our data infrastructure, pipelines, and platforms. Your mission is to build scalable, reliable, and high-performance data solutions that empower our organization to make data-driven decisions. You will drive innovation in data architecture, ensure seamless data flow, and foster a culture of excellence, collaboration, and continuous learning across multiple locations.
Your main responsibilities will be:
Data Engineering
Support the design, development, and maintenance of data pipelines and ETL/ELT workflows on Google Cloud Platform (GCP) on a specific domain (eg: Marketing)
Work with GCP services such as BigQuery, Cloud Storage, and Cloud Composer under the guidance of senior engineers
Assist with data quality checks, pipeline monitoring, and basic troubleshooting
Contribute to documentation of data processes, schemas, and pipeline logic.
Project Coordination & Stakeholder Support
Assist in collecting and documenting business requirements from stakeholders
Help validate that delivered data solutions align with business needs
Support day-to-day project, including meeting notes, status updates, and follow-ups
Participate in requirements workshops and sprint ceremonies, gradually taking ownership over time.
Your talent
Technical Expertise
Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Relevant coursework or projects in data engineering are a plus.
Programming: Basic proficiency in programming languages such as Python, SQL with an eagerness to deepen your skills.
Cloud Platforms: Exposure to cloud services (e.g., Azure, GCP) and their data solutions is a bonus.
Data Tools: Familiarity with data processing frameworks (e.g., Apache Spark, Hadoop) or ETL tools is advantageous.
Databases: Understanding of relational databases (e.g., PostgreSQL, MySQL) and a curiosity about NoSQL databases.
Soft Skills
Learning Mindset: Strong desire to learn and grow in the field of data engineering, with a proactive approach to tackling new challenges.
Problem-Solving: Analytical thinking and the ability to break down complex problems into manageable steps.
Collaboration: Ability to work effectively in a team environment, communicating clearly with both technical and non-technical colleagues.
Attention to Detail: Commitment to writing clean, well-documented code and ensuring data accuracy and consistency.
This job opportunity will be available in full-time or part-time.
Our principles
PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at PUMA and we do not tolerate any form of harassment or discrimination.
At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal opportunity - no matter your background, identity, or experience. To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.
PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000 employees worldwide.
