Senior Data Engineer: Open Finance Data Pipelines

Mastercard; København; On-site; DKK 900,000 - 1,400,000; Full time

Job summary

Mastercard is seeking a Senior Data Engineer to design and scale data pipelines powering Open Finance products. You will partner with product, analytics, data science, and operations to ensure secure, reliable data solutions that enable insights and AI capabilities.

The role requires strong SQL, Python, Spark, Kafka, and Databricks experience, along with data modeling and governance expertise. Mastercard offers a dynamic, security-conscious environment in Copenhagen.

Qualifications

• Bachelor's or Master's in CS/Engineering/Data Science.
• Proficiency with BI tools (Tableau, PowerBI) and Databricks SQL for dashboards and reporting.
• Advanced SQL, Python, Spark, Kafka, Databricks skills for scalable data engineering.
• Experience with cloud data platforms, lakehouse architectures, Snowflake and SQL environments.
• DBT/DBT Cloud experience for data transformation and modeling.
• Knowledge of data governance, security, privacy, and regulatory controls.

Responsibilities

• Design, build, and maintain scalable data pipelines and data products.
• Collaborate with product, analytics, engineering to align with strategy.
• Define data capture, instrumentation, and measurement requirements.
• Ensure data quality, security, reliability, and regulatory readiness.
• Create documentation, runbooks, and technical specs.
• Support deployment, monitoring, and incident management.
• Mentor junior engineers and contribute to best practices.
• Participate in design reviews and code reviews.

Skills

SQL

Python

Spark

Kafka

Databricks

Data modeling

Data governance

Analytics tooling

AI/ML support

Education

Bachelor's or Master’s in CS/Engineering/Data Science

Databricks certifications preferred

Tools

Tableau

PowerBI

Databricks SQL

DBT Cloud

Snowflake

Job description

Mastercard is seeking a Senior Data Engineer to design and scale data pipelines powering Open Finance products. You will partner with product, analytics, data science, and operations to ensure secure, reliable data solutions that enable insights and AI capabilities.

The role requires strong SQL, Python, Spark, Kafka, and Databricks experience, along with data modeling and governance expertise. Mastercard offers a dynamic, security-conscious environment in Copenhagen.