Senior Data Consultant for Netcompany Banking Services (f/m)

Netcompany Banking Services delivers IT solutions and services to banks and savings banks in Denmark and other Nordic countries. They provide a modern, cloud-based core banking platform to more than 50 Nordic banks, serving over 2 million end customers. Their solutions include daily banking operations, mobile and online banking, payments, investment, risk management, compliance, and open banking.

• A Bachelor's or Master’s degree in a relevant IT specialization is required.
• At least 4 years of experience in a similar role.
• Basic experience with SQL and ideally knowledge of SAS (SAS Studio or SAS DIS).
• Experience with or motivation to work in data warehousing, ETL processes, and automated data flows.
• Interest in code standardization, testing, version control (e.g., Git), and automation practices.
• Strong analytical and problem-solving skills paired with a structured working approach.
• Good communication skills and the ability to work effectively with both technical and business teams.
• Proficiency in the English language is required.
• Knowledge of Teradata tools or core banking systems (e.g., Kernesystemet, Advisor, FED) is beneficial but not required.
• A proactive mindset and willingness to grow into a trusted sparring partner for both the team and clients.

• Work with data warehouses/EDW platforms and transform data into accurate and efficient reporting and analytical outputs.
• Automate data management processes and develop/maintain ETL jobs (SAS experience is an advantage).
• Monitor, troubleshoot, and optimize data flows to ensure high data quality, integrity, and performance.
• Collaborate with IT teams, data engineers, analysts, and business stakeholders to translate business needs into technical solutions.
• Explore and use AI-assisted development tools (e.g., GitHub Copilot) to improve productivity and code quality.
• Apply a structured, analytical approach with focus on standardization, process optimization, documentation, and business value.
• Develop and implement data governance policies and ensure compliance with relevant regulations.
• Manage data storage solutions and participate in performance optimization activities.
• Conduct data quality assessments and lead improvement initiatives.
• Provide training and support on data management best practices to team members.