Senior Cloud-Native Data Platform Engineer

Mastercard; Malahide; On-site; EUR 100,000 - 130,000; Full time

Job summary

Mastercard is seeking a Senior Data Engineer to design, build, and operate cloud-native data products within the Data Commercialization Platform. You will develop scalable batch and streaming pipelines, implement governance and security controls, and contribute to platform modernization and CI/CD practices.

You will collaborate with product, architecture, and business teams to deliver enterprise data solutions, participate in production support, and help drive architectural excellence in a

Qualifications

• Bachelor's degree in a technical field (CS, Engineering, IS, Math, or related).
• Experience designing, developing, and supporting large-scale data engineering and platform engineering solutions.
• Hands-on with Databricks, Snowflake, Iceberg, Delta Lake, and AWS and/or Azure.
• Strong Python, SQL, Spark/PySpark, and data engineering best practices.
• Experience building batch and real-time data processing pipelines.
• Experience with orchestration/workflow tools (e.g., Airflow).
• Experience with CI/CD, Git, automated testing, IaC, and production support.
• Understanding of data governance, security controls, data quality, metadata, and lineage.
• Strong analytical, problem-solving, communication, and collaboration skills.

Responsibilities

• Design, develop, and support cloud-native data products and platform capabilities.
• Build and operate scalable batch and streaming data pipelines.
• Develop reusable frameworks, accelerators, and platform services on Databricks, Snowflake, Iceberg, and cloud platforms.
• Implement data governance, security, observability, and operational controls.
• Support platform modernization, automation, and engineering excellence through CI/CD and Infrastructure as Code.
• Collaborate with product, architecture, platform governance, and business teams to deliver enterprise data solutions.
• Participate in production support, operational readiness, and continuous improvement activities.

Skills

Python

SQL

Spark/PySpark

CI/CD

Airflow

Data governance

Communication

Collaboration

Education

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

Tools

Databricks

Snowflake

Apache Iceberg

Delta Lake

AWS

Azure

Job description

Mastercard is seeking a Senior Data Engineer to design, build, and operate cloud-native data products within the Data Commercialization Platform. You will develop scalable batch and streaming pipelines, implement governance and security controls, and contribute to platform modernization and CI/CD practices.

You will collaborate with product, architecture, and business teams to deliver enterprise data solutions, participate in production support, and help drive architectural excellence in a