Cloud-Native Data Engineer: Data Platform & Products

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

Job summary

Mastercard is seeking a Senior Data Engineer to design and deliver cloud-native data products and platform services. You will build scalable batch and streaming pipelines, create reusable frameworks on Databricks, Snowflake, Iceberg, and related cloud platforms, and implement governance, security, and observability across data solutions.

You will collaborate with product, architecture, and governance teams to drive enterprise data initiatives, support platform modernization, and champion CI/CD

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 experience with Databricks, Snowflake, Iceberg, Delta Lake, and AWS and/or Azure.
• Strong Python, SQL, Spark/PySpark skills and data eng 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 IaC.
• 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

Databricks

Snowflake

Iceberg

Delta Lake

AWS

Azure

CI/CD

Education

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

Tools

Databricks

Snowflake

Apache Iceberg

Delta Lake

AWS

Azure

CI/CD

Terraform

Job description

Mastercard is seeking a Senior Data Engineer to design and deliver cloud-native data products and platform services. You will build scalable batch and streaming pipelines, create reusable frameworks on Databricks, Snowflake, Iceberg, and related cloud platforms, and implement governance, security, and observability across data solutions.

You will collaborate with product, architecture, and governance teams to drive enterprise data initiatives, support platform modernization, and champion CI/CD