Remote option available with quarterly office visits for one week in Vienna.
About the company
The team is ambitious and international, working on an exciting AI-first product with the opportunity to work with modern technologies while helping shape the future of finance.
The company empowers business leaders to make better strategic decisions in financial management, reporting and planning. Its mission is to help companies connect, analyze, forecast and automate all their financial data in one place.
It is backed by renowned investors, including Atlantic Labs, CommerzVentures and founders of Wefox, and is building the next generation of AI-native finance software.
The company is looking for a Backend Engineer to help connect its backend and data infrastructure with LLM-powered features, agents and self-service capabilities. This role is primarily backend-focused: designing and building scalable services, APIs and business logic using Python.
Experience with data engineering (ETL/ELT pipelines, AWS data services, dimensional modelling) is a strong advantage and something the team will actively help develop further, but it is not a requirement. What matters most is strong backend engineering fundamentals combined with curiosity and a genuine interest in eventually working across data and AI product engineering as well. Backend and Data Engineering work closely together at the company, and engineers benefit from understanding both worlds. Someone who comes in strong on backend will be supported in growing into data engineering over time.
Backend Engineering
Design, build and maintain scalable backend services using Python.
Develop new product features and reusable backend architectures.
Improve system performance, reliability, security and maintainability.
Integrate LLMs into existing products, workflows, backend services and data systems.
Collaborate closely with Product, Frontend and other engineers.
Write clean, maintainable, well-tested and well-documented code.
Strong Python programming skills.
Experience building and operating production software.
Good understanding of object-oriented programming and software design principles.
Solid SQL knowledge.
Experience with AWS.
Experience with ETL or ELT pipelines.
Experience with dimensional data modelling or Medallion Architecture.
Experience with Docker and Kubernetes.
Familiarity with GraphQL or Terraform / Infrastructure as Code.
Experience with ClickHouse, Redshift or other analytical databases.
Being strong in both backend and data engineering from day one isn't required - what matters most is bringing strong backend fundamentals and motivation to grow.
A strong quality mindset
Grow from a strong backend foundation into data and AI product engineering.
Office in the heart of Vienna, or remote with quarterly office weeks in Vienna.
or continue with email
About the company
The team is ambitious and international, working on an exciting AI-first product with the opportunity to work with modern technologies while helping shape the future of finance.
The company empowers business leaders to make better strategic decisions in financial management, reporting and planning. Its mission is to help companies connect, analyze, forecast and automate all their financial data in one place.
It is backed by renowned investors, including Atlantic Labs, CommerzVentures and founders of Wefox, and is building the next generation of AI-native finance software.
The company is looking for a Backend Engineer to help connect its backend and data infrastructure with LLM-powered features, agents and self-service capabilities. This role is primarily backend-focused: designing and building scalable services, APIs and business logic using Python.
Experience with data engineering (ETL/ELT pipelines, AWS data services, dimensional modelling) is a strong advantage and something the team will actively help develop further, but it is not a requirement. What matters most is strong backend engineering fundamentals combined with curiosity and a genuine interest in eventually working across data and AI product engineering as well. Backend and Data Engineering work closely together at the company, and engineers benefit from understanding both worlds. Someone who comes in strong on backend will be supported in growing into data engineering over time.
Backend Engineering
Design, build and maintain scalable backend services using Python.
Develop new product features and reusable backend architectures.
Improve system performance, reliability, security and maintainability.
Integrate LLMs into existing products, workflows, backend services and data systems.
Collaborate closely with Product, Frontend and other engineers.
Write clean, maintainable, well-tested and well-documented code.
Strong Python programming skills.
Experience building and operating production software.
Good understanding of object-oriented programming and software design principles.
Solid SQL knowledge.
Experience with AWS.
Experience with ETL or ELT pipelines.
Experience with dimensional data modelling or Medallion Architecture.
Experience with Docker and Kubernetes.
Familiarity with GraphQL or Terraform / Infrastructure as Code.
Experience with ClickHouse, Redshift or other analytical databases.
Being strong in both backend and data engineering from day one isn't required - what matters most is bringing strong backend fundamentals and motivation to grow.
A strong quality mindset
Grow from a strong backend foundation into data and AI product engineering.
Office in the heart of Vienna, or remote with quarterly office weeks in Vienna.
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