About this role
About the Role We are looking for a Data Engineering Intern who is technically capable and knows how to get things done. You will scope and execute data engineering work end to end, gathering requirements, building pipelines, and ensuring solutions are reliable and aligned with business needs. This role combines soft skills, business insight, and technical expertise to drive outcomes with key partners across the organization. What You'll Do
- Build and optimize ETL pipelines.
- Implement data quality and validation processes.
- Contribute to data model design.
- Document solutions, patterns, and standards.
- Perform statistical data profiling (distributions, outliers, missingness).
- Design basic experiments / A/B tests and interpret statistical outcomes.
- Monitor pipeline and model performance (latency, data drift, metric stability).
- Plan, track, and communicate progress on assigned deliverables. What We're Looking For
- Bachelor's Degree (completed or in progress) required.
- Python and SQL programming skills required.
- Core statistics (probability basics, sampling, confidence intervals) required.
- Understanding of regression and classification fundamentals required.
- Cloud basics and Databricks experience valued.
- Experience with Power BI or other reporting tools valued.
- Active interest in AI/ML trends and hands-on experimentation valued.
- Mandatory English proficiency (B2+) required.
- Spanish proficiency (B2+) valued. Nice to Have
- Cloud basics and Databricks experience valued.
- Azure components, Git/GitHub, and CI/CD practices valued.
- Experience with modern cloud data engineering practices. Compensation & Benefits
- Competitive remuneration: 1,200 EUR gross per month + relocation allowance where applicable.
- Development opportunities: hands-on experience in modern cloud data engineering, Python, SQL, Git/GitHub, and CI/CD.
- Coaching and mentorship from experienced engineers.
- Collaborative, multinational team environment.