Lead Data Engineer - Cloud Data Platform & Risk Analytics

Mastercard; Lusk; Hybrid; EUR 120,000 - 160,000; Full time

Job summary

Mastercard is seeking a Lead Data Engineer for the Enterprise Credit Risk (ECR) program. You will architect and implement scalable data platforms and pipelines, ensure data quality and governance, and drive modernization of legacy assets to cloud-based Lakehouse architectures.

Collaboration with Risk, Product, Architecture, and Engineering is essential. You will mentor engineers, define standards, and lead cross-team design reviews to deliver high-quality data products and enable AI-driven

Qualifications

• Strong expertise in designing and implementing large-scale data engineering solutions and distributed data processing systems.

Responsibilities

• Lead the design, development, and evolution of enterprise-grade data platforms and pipelines supporting credit risk products, decisioning capabilities, and analytics solutions.

Skills

Data engineering

Distributed data processing

Cloud data platforms

Data governance & quality

SQL & Python

Leadership & mentoring

Communication with stakeholders

Security & compliance awareness

Java knowledge

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related STEM

Tools

Databricks

Apache Spark

Delta Lake

Airflow

Hadoop

Job description

Mastercard is seeking a Lead Data Engineer for the Enterprise Credit Risk (ECR) program. You will architect and implement scalable data platforms and pipelines, ensure data quality and governance, and drive modernization of legacy assets to cloud-based Lakehouse architectures.

Collaboration with Risk, Product, Architecture, and Engineering is essential. You will mentor engineers, define standards, and lead cross-team design reviews to deliver high-quality data products and enable AI-driven