Location: Madrid (Hybrid: 4 days office / 1 day WFH)

Contract: Permanent

About the Opportunity

At E-Frontiers , we are currently partnering with a leading international fintech client that is undergoing a major data and AI-driven transformation. Data is at the core of their growth strategy, and they are looking for a Senior Data Engineer to play a key role in evolving their data ecosystem and enabling next-generation AI use cases.

Technology Stack

You will work with a modern, best-in-class stack, including:

• Orchestration: Airflow (Cloud Composer)
• Cloud: Google Cloud Platform (GKE, Cloud Run, Cloud Functions, Artifact Registry)
• Data Ingestion: DLT (Data Load Tool) for scalable, reliable pipelines
• Data Modeling & Quality: dbt at scale, with DuckDB to enforce strong Data Contracts
• DevOps: Dockerized environments, CI/CD pipelines with GitHub Actions

What You’ll Be Doing

• Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from multiple sources (APIs, transactional databases, file-based systems).
• Enable AI & ML: Contribute to building the data and platform foundations for ML models and LLM-powered agents.
• Business Collaboration: Work closely with business and technical stakeholders to identify high-impact opportunities and lead improvements end-to-end.
• Engineering Excellence: Apply strong software engineering practices (SDLC, RFCs, unit testing, code reviews) to ensure scalability and reliability.
• Growth & Ownership: Follow a structured 30/60/90-day plan designed to help you ramp up quickly and make an impact from day one.

About You

You’ll be a great fit if you have:

• Strong experience in Python & SQL (5+ years).
• A problem-solving mindset , comfortable dealing with ambiguity and iterating fast towards production-grade solutions