Senior Data Engineer - Cloud Data Platform & Pipelines

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

Job summary

Mastercard is seeking a Senior Data Engineer to design, develop, and operate cloud-native data products on the DCP. You will build scalable batch and streaming pipelines, implement governance and security, and collaborate across product, architecture, and business teams to deliver enterprise data solutions.

You will work with Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms on AWS/Azure, applying CI/CD and IaC practices to improve reliability and performance in a regulated

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.
• Hands-on experience with Databricks, Snowflake, Apache Iceberg, Delta Lake, and AWS and/or Azure.
• 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.

Skills

Databricks

Snowflake

Apache Iceberg

Delta Lake

Python

SQL

Spark / PySpark

Airflow

CI/CD

Infrastructure as Code

Education

Bachelor's degree in CS/Engineering/Math/related field

Tools

AWS

Azure

Job description

Mastercard is seeking a Senior Data Engineer to design, develop, and operate cloud-native data products on the DCP. You will build scalable batch and streaming pipelines, implement governance and security, and collaborate across product, architecture, and business teams to deliver enterprise data solutions.

You will work with Databricks, Snowflake, Iceberg, Delta Lake, and cloud platforms on AWS/Azure, applying CI/CD and IaC practices to improve reliability and performance in a regulated