Role highlights
Full Time
Permanent
Senior
On-site
The Senior Software Engineer role at Danske Bank focuses on developing and maintaining a sophisticated credit risk assessment model platform within the IT department. The candidate will be responsible for designing, building, and supporting critical components of the Data Science and Machine Learning Platform, ensuring alignment with stakeholder requirements through technical specifications and architectural designs. Collaboration is key, involving close work with architects, cloud engineers, DevOps, and teams managing upstream and downstream systems to create a robust and scalable ecosystem. The role demands expertise in cloud engineering, particularly with AWS and Databricks, alongside proficiency in Infrastructure as Code tools such as Terraform. Strong programming skills in Python and shell scripting are essential, as is experience with containerization technologies like Docker. Familiarity with CI/CD pipelines, especially using Azure DevOps, is required to support continuous integration and delivery. A solid understanding of systems design principles—including networking, scaling, security, and performance—is crucial, as is knowledge of system observability practices. The candidate must also comprehend the operational differences between real-time and near-real-time execution environments in production and analytics contexts. Advanced English communication skills are necessary for effective collaboration and documentation. This senior-level position requires a bachelor’s degree and significant experience, reflecting a deep technical skill set and the ability to influence strategic decisions related to credit lending and capital allocation through model infrastructure development.
About the role
- Develop a cutting-edge model platform for credit risk assessment at Danske Bank
- Influence critical decisions from individual credit lending to capital allocation
- Collaborate with teams redeveloping vital models and operate within a dynamic IT department
- Work at the hub of expertise and strategic prioritization for the bank’s model infrastructure
Responsibilities
- Design, build, and maintain key elements of the Data Science and Machine Learning Platform
- Collect and understand stakeholders’ requirements and transform them into technical specifications and architectural designs
- Collaborate with upstream and downstream systems to ensure a robust ecosystem of interconnected production systems
- Review and ensure adherence to Group policies regarding software development, security, and production systems
- Work closely with architects, cloud engineers, and DevOps to ensure successful delivery
Requirements
- Expertise in cloud engineering, particularly with AWS and Databricks
- Proficiency in Infrastructure as Code tools, such as Terraform
- Strong programming and scripting skills in Python and shell scripts
- Experience with container technologies like Docker
- Proficiency in CI/CD tools and strategies, specifically Azure DevOps
- Solid understanding of systems design, including networking, scaling, security, and performance
- Core knowledge of system observability
- Awareness of technological differences between real-time and near-real-time executions in production and analytical environments
- Advanced English communication skills
How to Apply
- Share your CV and cover letter as soon as possible; interviews are planned as applications are received
- For questions, contact Chapter Lead Henrik Skydtsgaard Nielsen at [email protected]
- Learn more about working at Danske Bank: https://danskebank.com/da/karriere/soeg-job
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