Junior Data & AI Engineer - SCIB Málaga
Santander Corporate & Investment Banking
Fecha: hace 2 semanas
ciudad: Málaga, Andalucía
Tipo de contrato: Tiempo completo

Country: Spain
SCIB GTB is looking for a JUNIO DATA & AI ENGINEER, based in our MALAGA, Spain office.
WHY YOU SHOULD CONSIDER THIS OPPORTUNITY
At Santander CIB (www.santandercib.com) we are key players in the transformation of the financial sector. Do you want to join us?
Santander Corporate & Investment Banking (SCIB) is Santander's global division that supports some of the world's most complex and sophisticated corporate and institutional clients, offering customized services and value-added wholesale products to best meet their needs.
Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation.
What You Will Be Doing
As a Junior Data & AI Engineer, your mission will be to contribute to the transformation and continuous evolution of the platforms that supports the Business line.
We need someone like you to help us in different fronts:
#SCIB
SCIB GTB is looking for a JUNIO DATA & AI ENGINEER, based in our MALAGA, Spain office.
WHY YOU SHOULD CONSIDER THIS OPPORTUNITY
At Santander CIB (www.santandercib.com) we are key players in the transformation of the financial sector. Do you want to join us?
Santander Corporate & Investment Banking (SCIB) is Santander's global division that supports some of the world's most complex and sophisticated corporate and institutional clients, offering customized services and value-added wholesale products to best meet their needs.
Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation.
What You Will Be Doing
As a Junior Data & AI Engineer, your mission will be to contribute to the transformation and continuous evolution of the platforms that supports the Business line.
We need someone like you to help us in different fronts:
- Generate insight from diverse data sources by applying AI, classic analytics, and modern machine-learning techniques to enrich dashboards and decision-making tools.
- Spot patterns, trends, and anomalies and turn them into algorithms or predictive models that add measurable value for the business.
- Design and build analytics solutions that combine the right cloud services for data storage, processing, and real-time or batch consumption.
- Prototype and evaluate emerging cloud technologies and advanced analytics approaches, recommending the best fit for production workloads.
- Develop and maintain automated data pipelines using modern DevOps practices (CI/CD, infrastructure-as-code, automated testing, monitoring, etc.).
- Document technical solutions clearly and concisely, creating runbooks and architecture diagrams that accelerate knowledge sharing.
- Build compelling dashboards and visual stories that translate complex findings into clear, actionable messages for technical and non-technical stakeholders alike
- 1 - 2 years hands-on experience (including internships or academic projects) in cloud-native data engineering, analytics, or application architecture
- Fluent in English and desirable in Spanish.
- Bachelor’s degree or higher in Computer Science, Engineering or a related technical discipline.
- Solid grasp of statistics, feature-engineering, and GenAI / ML frameworks (e.g., LangChain).
- Curiosity for exploratory data analysis and experiment design.
- You are familiar with Python and modern ML frameworks.
- Understanding of evaluation metrics, bias/variance trade-offs, and prompt-engineering basics.
- Habit of rapid-learning new services (e.g., vector databases, serverless ETL)
- Proficiency with BI tools (AWS QuickSight) and basic UX principles for data storytelling.
- SQL fluency and an eye for translating metrics into actionable insights.
- Communicates trade-offs and design rationales effectively to mixed audiences.
- Strong collaboration and communication skills within product-oriented, agile teams.
- Adaptable, growth mindset; proven ability to learn new tech quickly.
- AWS Architect or Data certification is a plus.
- Experience with database management systems
- Experience in event sourcing technologies such as Kafka is a plus.
- Experience with Agile Development style and tools such JIRA, Confluence.
#SCIB
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