Data Engineering & AI Platform Lead

Amazon; Madrid; On-site; EUR 100,000 - 140,000; Full time

Job summary

Amazon is seeking a Manager of Data Engineering to lead a team of data engineers responsible for building and operating data pipelines, models, and platform infrastructure powering analytics, science, and AI initiatives. You will own delivery and platform health, build a high-performing team, and promote AI-assisted engineering practices across the group.

You will partner with BI, applied science, and product teams to translate data needs into technical roadmaps and contribute to shared

Qualifications

• Engineering team management experience, including hiring, performance management, and career development.
• Hands-on contribution to data platform and pipeline delivery.
• Designing data systems, data modeling, pipeline patterns, reliability, and scaling strategies.
• Experience building data pipelines and cloud-native data infrastructure (data warehouses, data lakes, event-driven architectures, orchestration platforms).
• Knowledge of engineering practices across the full software development life cycle, including coding standards, code reviews, source control, CI/CD, testing, and operational excellence.
• Experience partnering with product management, applied science, or cross-functional stakeholders to translate business needs into technical roadmaps.

Responsibilities

• Lead and mentor a high-performing data engineering team.
• Own delivery and operational health of the data platform and pipelines.
• Collaborate with BI, applied science and product teams to translate data needs into roadmaps.
• Contribute to shared platform infrastructure and tooling as required.

Skills

Team management

Hands-on data engineering

Data modeling

Data pipelines & cloud infra

CI/CD & DevOps

Cross-functional collaboration

Job description

Amazon is seeking a Manager of Data Engineering to lead a team of data engineers responsible for building and operating data pipelines, models, and platform infrastructure powering analytics, science, and AI initiatives. You will own delivery and platform health, build a high-performing team, and promote AI-assisted engineering practices across the group.

You will partner with BI, applied science, and product teams to translate data needs into technical roadmaps and contribute to shared