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Senior Software Engineer

at McKesson

Back to all Cloud & DevOps jobs
M
Industry not specified

Senior Software Engineer

at McKesson

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 17 hours ago

No clicks

Compensation
Not specified DKK

Currency: DKK

City
Copenhagen
Country
Denmark

Join Danske Bank's platform team to build and maintain the Data Science and Machine Learning Platform for credit risk models used across the bank. Design, build, and maintain key elements of the Data Science and ML Platform, capture stakeholder requirements, and translate them into technical designs. Collaborate with upstream and downstream systems and with architects, cloud engineers, and DevOps to ensure robust, scalable production systems. The role emphasizes cloud engineering (AWS and Databricks), Terraform IaC, Python and shell scripting, Docker, and Azure DevOps CI/CD, with a focus on observability, security, and production readiness.

Location: Copenhagen K, Denmark

Are you passionate about matching IT architecture to business needs and building platform solutions for 100+ data science users developing machine learning models? At the same time, enjoy taking a practical hand in delivering products?

Join our full-stack team at Danske Bank as we develop a cutting-edge model platform for credit risk assessment. Our work influences critical decisions, from individual credit lending to capital allocation for entire portfolios. You will collaborate closely with teams redeveloping these vital models, all within a dynamic department that oversees and operates the bank’s existing IT model infrastructure. This positions you at a hub of expertise and strategic prioritization, setting you up for success.
 

The Role

You will join a platform team that comprises data engineers, DevOps, cloud engineers, and platform engineers/architects. Regular collaboration with data engineers, MLOps, and data scientists from other teams will also be part of your role, so a collaborative mindset and a willingness to contribute to general platform tasks are essential.

In this role, you will:

  • Design, build, and maintain key elements of the Data Science and Machine Learning Platform.
  • Collect and understand stakeholders’ requirements to 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.
  • You will also work closely with architects, cloud engineers, and DevOps within the organization to ensure successful delivery.
     

About you

You have expertise in cloud engineering (particularly with AWS and Databricks) and are proficient in Infrastructure as Code tools, such as Terraform. With strong programming and scripting skills in Python and shell scripts, you are comfortable working with container technologies like Docker.

Additionally, you bring:

  • Proficiency in CI/CD tools and strategies, specifically Azure DevOps.
  • A solid understanding of systems design, including networking, scaling, security, and performance.
  • Core knowledge of system observability.
  • Awareness of the technological differences between real-time and near-real-time executions in production and analytical environments.
  • Advanced English communication skills are essential to excel in this role.

 

Apply Now!

Share your CV and cover letter as soon as possible - we plan interviews as applications are received.

If you have any questions about the job then please reach out to Chapter Lead, Henrik Skydtsgaard Nielsen on skyd@danskebank.dk

Do you want to know more about working in Danske Bank? See more at: https://danskebank.com/da/karriere/soeg-job

 

Are you passionate about matching IT architecture to business needs and building platform solutions for 100+ data science users developing machine learning models? At the same time, enjoy taking a practical hand in delivering products? Join our full-stack team at Danske Bank as we develop a cutting-edge model platform for credit risk assessment. Our work influences critical decisions, from individual credit lending to capital allocation for entire portfolios. You will collaborate closely with teams redeveloping these vital models, all within a dynamic department that oversees and operates the bank’s existing IT model infrastructure. This positions you at a hub of expertise and strategic prioritization, setting you up for success.

Senior Software Engineer

at McKesson

Back to all Cloud & DevOps jobs
M
Industry not specified

Senior Software Engineer

at McKesson

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 17 hours ago

No clicks

Compensation
Not specified DKK

Currency: DKK

City
Copenhagen
Country
Denmark

Join Danske Bank's platform team to build and maintain the Data Science and Machine Learning Platform for credit risk models used across the bank. Design, build, and maintain key elements of the Data Science and ML Platform, capture stakeholder requirements, and translate them into technical designs. Collaborate with upstream and downstream systems and with architects, cloud engineers, and DevOps to ensure robust, scalable production systems. The role emphasizes cloud engineering (AWS and Databricks), Terraform IaC, Python and shell scripting, Docker, and Azure DevOps CI/CD, with a focus on observability, security, and production readiness.

Location: Copenhagen K, Denmark

Are you passionate about matching IT architecture to business needs and building platform solutions for 100+ data science users developing machine learning models? At the same time, enjoy taking a practical hand in delivering products?

Join our full-stack team at Danske Bank as we develop a cutting-edge model platform for credit risk assessment. Our work influences critical decisions, from individual credit lending to capital allocation for entire portfolios. You will collaborate closely with teams redeveloping these vital models, all within a dynamic department that oversees and operates the bank’s existing IT model infrastructure. This positions you at a hub of expertise and strategic prioritization, setting you up for success.
 

The Role

You will join a platform team that comprises data engineers, DevOps, cloud engineers, and platform engineers/architects. Regular collaboration with data engineers, MLOps, and data scientists from other teams will also be part of your role, so a collaborative mindset and a willingness to contribute to general platform tasks are essential.

In this role, you will:

  • Design, build, and maintain key elements of the Data Science and Machine Learning Platform.
  • Collect and understand stakeholders’ requirements to 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.
  • You will also work closely with architects, cloud engineers, and DevOps within the organization to ensure successful delivery.
     

About you

You have expertise in cloud engineering (particularly with AWS and Databricks) and are proficient in Infrastructure as Code tools, such as Terraform. With strong programming and scripting skills in Python and shell scripts, you are comfortable working with container technologies like Docker.

Additionally, you bring:

  • Proficiency in CI/CD tools and strategies, specifically Azure DevOps.
  • A solid understanding of systems design, including networking, scaling, security, and performance.
  • Core knowledge of system observability.
  • Awareness of the technological differences between real-time and near-real-time executions in production and analytical environments.
  • Advanced English communication skills are essential to excel in this role.

 

Apply Now!

Share your CV and cover letter as soon as possible - we plan interviews as applications are received.

If you have any questions about the job then please reach out to Chapter Lead, Henrik Skydtsgaard Nielsen on skyd@danskebank.dk

Do you want to know more about working in Danske Bank? See more at: https://danskebank.com/da/karriere/soeg-job

 

Are you passionate about matching IT architecture to business needs and building platform solutions for 100+ data science users developing machine learning models? At the same time, enjoy taking a practical hand in delivering products? Join our full-stack team at Danske Bank as we develop a cutting-edge model platform for credit risk assessment. Our work influences critical decisions, from individual credit lending to capital allocation for entire portfolios. You will collaborate closely with teams redeveloping these vital models, all within a dynamic department that oversees and operates the bank’s existing IT model infrastructure. This positions you at a hub of expertise and strategic prioritization, setting you up for success.

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