Why Choose TD SYNNEX:
TD SYNNEX is a Fortune 100 company with over $58 billion in revenue (NYSE: SNX), recognized as one of the world's leading technology distributors and solutions aggregators. With a diverseteam of 24,000 employeesoperating across more than 100 countries, we support over 150,000 customers in maximizing the value of their technology investments, driving business results, and unlocking growth opportunities. TD SYNNEX is a certified Great Place to Work, celebrated for our dynamic culture and comprehensive benefits. Our diverse workforce is our greatest strength, fostering success and inclusivity.

About the role:
TD SYNNEX has built a strong data analytics capability, focused on creating predictive insights, automation of the business processes and personalization of the partner interactions.

We are looking for a skilled Data Engineer to join our team and play a key role in designing, building, and optimizing data infrastructure. You will work with cutting-edge technologies like Azure/AWS, Snowflake, and Python to develop scalable ETL pipelines, automate workflows,



and deliver impactful data solutions. This position requires a collaborative mindset, technical expertise, and the ability to transform complex data into actionable insights that drive business success.

What you will do:
- Process and manage complex datasets using Python, SQL, and Snowflake, ensuring accurate and efficient ETL workflows on Azure/AWS infrastructure.
- Automate and optimize data workflows, developing tools to empower analytics and engineering teams.
- Build interactive dashboards and visualizations in Power BI to support decision-making processes.
- Collaborate with stakeholders and IT teams to address data-related challenges and ensure scalable solutions.

What We're Looking For
- Minimum 3 years of experience in a similar role (Data Engineer, Data Scientist or BI).
- Strong knowledge of Python for data manipulation and scripting.
- Hands-on experience with data warehousi

📌 Cloud Data Engineer (Barcelona)
🏢 TD Synnex
📍 Barcelona