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Sage is offering a Data & AI Graduate Programme in Barcelona, focused on AI, data engineering, and responsible innovation. You’ll rotate across teams like Data Hub, work with Snowflake, AWS, Kafka, Flink, Iceberg, Spark and DBT, and build robust data pipelines for real-time and batch processing.
You will gain practical experience shaping AI solutions, governance, and scalable engineering practices, with structured learning, mentors, and a global network.
Start your career at Sage in a role focused on artificial intelligence, data engineering and responsible innovation. You will build practical experience in how trusted data powers AI, how scalable data platforms support better decisions, and how emerging technology can be applied safely and effectively across a global software business.
As a graduate, you will be supported with structured learning, access to mentors and subject matter experts, and opportunities to work with teams across Sage. You will develop technical confidence, commercial understanding, and communication skills needed to turn data and AI ideas into useful outcomes.
You will also have access to Sage Foundation, which gives colleagues five paid volunteer days each year, alongside development time and a wider graduate network.
The Data & AI Graduate Programme is designed to give you broad, practical experience in how AI solutions are shaped, governed, and supported by strong data foundations. You will learn how high quality data, clear problem framing, responsible AI principles, and scalable engineering practices come together to solve real business challenges.
As part of your rotations, you could work with teams such as the Data Hub, gaining exposure to modern cloud and streaming technologies. This may include tools and approaches such as Snowflake, AWS services, Kafka, Flink, Apache Iceberg, Apache Spark and DBT, depending on the team and project needs.
To be eligible for this role, you will need a degree with a strong analytical, technical, numerical, or problem solving focus. This could include Computer Science, Software Engineering, Data Science, Mathematics, or a related subject. We are also looking for:
This is a hybrid role, working 3 days per week in the office.
This role is not open to visa sponsorship. Candidates must have a valid work authorization for the location listed and not require sponsorship now, or in the future, for their application to be considered.
Please note that due to the high volume of applications, there may be a delay in receiving a response from your video interview. Thank you for your patience.
At Sage, we offer you an environment where you can grow professionally without compromising your personal well-being. Our benefits package is designed to provide stability, flexibility, and balance:
We are committed to inclusivity for all. If any adjustments would help you perform at your best during the application process or beyond, please contact earlycareersadjustments@sage.com For all other enquiries please each out to earlycareers@sage.com.
Please note that due to the high volume of applications, there may be a delay in receiving a response from your video interview. Thank you for your patience.