Senior Data Engineer: Cloud Data Platform & Pipelines

Mastercard; Blackrock; On-site; EUR 110,000 - 150,000; Full time

Job summary

Mastercard seeks a Senior Data Engineer to design and deliver cloud-native data products and platform capabilities. You will build scalable batch and streaming pipelines and develop reusable frameworks on Databricks, Snowflake, Iceberg, and cloud platforms, while enforcing data governance and security.

You will collaborate with product, architecture, and governance teams to enable enterprise data solutions and support production readiness and automation 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.
• 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 (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

Kafka

Job description

Mastercard seeks a Senior Data Engineer to design and deliver cloud-native data products and platform capabilities. You will build scalable batch and streaming pipelines and develop reusable frameworks on Databricks, Snowflake, Iceberg, and cloud platforms, while enforcing data governance and security.

You will collaborate with product, architecture, and governance teams to enable enterprise data solutions and support production readiness and automation initiatives.