Senior DataOps Engineer for Netcompany Banking Services (f/m)

In Netcompany Banking Services we deliver a range of different IT solutions and services to banks and savings banks in both Denmark and other Nordic countries. We provide a modern, cloud-based core banking platform to more than 50 Nordic banks, serving over 2 million end customers. Our solutions include daily banking operations, mobile and online banking, payments, investment, risk management, compliance, and open banking.

As we prepare for new ventures, we are seeking ambitious individuals to join us on this journey.

• Experience working in the data warehousing field.
• Strong proficiency in SQL.
• Knowledge of databases, data processing concepts, and general data engineering principles.
• Experience with SAS or Teradata tools is an advantage.
• Experience with at least one ETL/ELT tool (preferably SAS DI Studio).
• Familiarity with tools such as Snowflake, dbt, Git, Erwin, or Power BI is an advantage.
• Strong analytical and problem‑solving skills.
• Good communication skills and ability to work effectively in a team environment.
• Proficiency in the English language is required.
• A Bachelor's or Master’s degree in a relevant IT specialization is required.

• Drive the automation of data management processes within a modern CI/CD environment.
• Design and implement scalable data models and orchestrate ETL/ELT pipelines.
• Manage and optimize data flows and data storage solutions to ensure performance and reliability.
• Collaborate with data engineers, analysts, and business stakeholders to ensure data quality and consistency.
• Troubleshoot complex data and system-related issues.
• Ensure high standards of data quality, completeness, and integrity.
• Create and maintain documentation for data processes, architectures, and operational procedures.
• Support the development and implementation of data governance processes.
• Ensure compliance with data security, regulatory, and audit requirements.
• Conduct data quality assessments and drive improvement initiatives.
• Provide training, guidance, and best‑practice support to team members on data management and DataOps principles.