The Opportunity

Support the design and development of data products, analytics solutions and AI use cases within the Operations domain, contributing hands-on to Data & AI delivery for process, supply, manufacturing or operational contexts. The role is designed as a high-potential early-career position that combines data development, analytics and growing AI exposure, allowing the candidate to evolve into a strong domain builder for operational Data & AI products.

What you'll get to do

Strategy & Roadmap

- Support the evolution of the Operations Data & AI domain through data and AI solutions.
- Contribute to reusable datasets and products for forecasting, automation and process optimization.
- Develop understanding of operations processes and business needs.

Delivery & Execution

- Build and maintain datasets, pipelines and transformations in cloud environments, mainly BigQuery.
- Support the delivery of data products, dashboards and AI solutions.
- Prepare data for forecasting, optimization and AI use cases.
- Ensure solutions are scalable, reusable and well documented.

Governance & Compliance

- Apply data quality, governance, privacy and traceability standards.
- Follow architecture, documentation and monitoring requirements.
- Support responsible and reliable use of AI solutions.

Stakeholder Management

- Collaborate with Operations stakeholders and cross-functional data teams.
- Translate business needs into practical data and AI solutions.

Team Contribution

- Contribute actively within the domain squad.




- Share knowledge and support continuous improvement.
- Develop expertise in Data, Analytics and AI for Operations.

We'd love to meet you if you have

REQUIRED EXPERIENCE

- 1-4 years in Data, Analytics, AI, software development or related areas.
- Experience with cloud data platforms, ideally Google Cloud and BigQuery.
- Exposure to AI, analytics or machine learning use cases.
- Experience in operations, manufacturing or process optimization is a plus.

TECHNICAL SKILLS

- Strong SQL and basic to intermediate Python.
- Experience with Google Cloud tools, especially BigQuery.
- Knowledge of data preparation, transformation and analytics datasets.
- Interest in AI, ML and GenAI.
- Understanding of data governance, documentation and monitoring.

EDUCATION AND CERTIFICATIONS

- Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems or related fields.
- Google Cloud, Data or AI certifications are a plus.
- Additional training in analytics, AI, Python or cloud technologies is valued.

We welcome Creators Of All Kinds. If you are unsure of meeting all the requirements but trust you have the transferable skills to excel in this role, complete the application and our teams will get in touch if you are selected for an interview.

WHAT YOU’LL LOVE ABOUT US

- An entrepreneurial, creative and welcoming work culture
- A range of learning and development opportunities
- An international company with plenty of opportunities to grow
- A competitive compensation & benefits package

📌 Data & Ai Developer (Barcelona)
🏢 Puig
📍 Barcelona