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Teton.ai

Finance Systems Engineer

Copenhagen, Capital region, Denmark

Location
Copenhagen, Capital region, Denmark
Work
On-site
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
3 weeks ago

About the role

Finance Systems Engineer

Location: On location in Copenhagen, Denmark

Employment type: Full-time

About Teton

Teton is building the autonomous operating system for care. Our technology gives senior living and care teams greater visibility into resident wellbeing, movement, sleep, and care delivery, helping them respond faster, work more efficiently, and provide more personalized care.

The Role

The Finance Systems Engineer will own the systems, data infrastructure, and internal tooling that power Teton’s finance function.

As Teton continues to scale, we need reliable financial data, connected systems, and automated workflows that allow the business to operate efficiently and make informed decisions. You will help strengthen our operational finance capabilities by ensuring our data is accurate, our systems work as intended, and our internal processes are scalable.

This is a hands-on role at the intersection of finance, systems engineering, and data. You will build integrations between our accounting platform, ERP, CRM, and internal product systems, develop tools that make business intelligence data easier to access, and establish controls that maintain data integrity.

What You’ll Own

Finance Data and Systems Infrastructure

  • Own the systems and data flows supporting Teton’s finance function, ensuring financial information is accurate, accessible, and reliable.
  • Maintain and improve integrations between accounting, ERP, CRM, and internal product systems.
  • Identify infrastructure gaps and implement scalable solutions that support Teton’s growth.

Systems Integrations and Automation

  • Build and maintain integrations and automated workflows that reduce manual work across finance and business operations.
  • Troubleshoot integration issues, resolve data discrepancies, and implement lasting technical solutions.
  • Identify opportunities to streamline processes through automation and better system design.

Data Integrity and Financial Controls

  • Develop internal tools and automated checks to identify missing data, inconsistencies, and potential errors across systems.
  • Establish reliable reconciliation processes and improve the traceability of financial data.
  • Strengthen data validation and controls to support accurate reporting and dependable financial operations.

Operational Finance Support

  • Partner with the finance team to improve day-to-day workflows, reporting capabilities, and access to business-critical information.
  • Translate operational needs into practical technical solutions that reduce administrative overhead.
  • Build a scalable systems foundation that supports increasingly sophisticated financial and business intelligence needs.

What Success Looks Like

In your first year, you will have:

  • Built a reliable, scalable finance systems infrastructure with accurate data and strong integrations across accounting, ERP, CRM, and internal platforms.
  • Automated key workflows and implemented data validation tools that reduce manual work, improve data integrity, and strengthen financial controls.
  • Improved access to business intelligence and streamlined finance operations to support Teton’s continued growth.

What We’re Looking For

  • Experience in finance systems, data engineering, business systems, or a similar technical role.
  • Degree in Finance, Engineering, Analytics, or a related field.
  • Strong technical skills in integrations, automation, APIs, and data workflows.
  • Familiarity with accounting platforms, ERP systems, CRM systems, and financial data integrity.
  • Strong problem-solving skills, ownership, and the ability to work independently in a fast-growing environment.
  • Experience with finance automation or in a startup/scale-up environment is a plus.

Source

Posted by Teton.ai on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 01:39 UTC; the original is the reference.

View the original ad ↗

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