Senior Data Platform Engineer - Cloud-Native Data Pipelines

Mastercard; Swords; On-site; EUR 90,000 - 130,000; Full time

Job summary

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

You will collaborate with product, architecture, and business teams to deliver enterprise data solutions, while advancing automation and platform modernization initiatives.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field.
• Experience designing, developing, and supporting large-scale data engineering and platform engineering solutions.
• Strong proficiency in Python, SQL, Spark/PySpark, and data engineering best practices.
• Experience building batch and real-time data processing pipelines.
• Experience with orchestration and workflow automation tools (e.g., Airflow).
• Experience with CI/CD, Git, automated testing, Infrastructure as Code, 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.

Tools

Databricks

Snowflake

Apache Iceberg

Delta Lake

AWS

Azure

Airflow

Terraform

Git

Job description

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

You will collaborate with product, architecture, and business teams to deliver enterprise data solutions, while advancing automation and platform modernization initiatives.