Senior Software Engineer – Financial Statement Suite

DataSnipper

. Design and build production APIs and services, primarily in Python and C#, that power financial statement review workflows.

Posted 7/3/2026full-timeAmsterdam • 🇳🇱 NetherlandsSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building production APIs and services using Python and C#, with a strong focus on AI-powered workflows and cloud integration, particularly with Azure. Proficient in software architecture, testing methodologies, and mentoring within a collaborative environment.

Highest-signal resume keywords

Python DevelopmentAPI Design and DevelopmentAzure Cloud ServicesReact Front-End DevelopmentAI-Assisted Engineering

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Hard Skills

C#TypeScriptSoftware ArchitectureUnit TestingIntegration TestingEnd-to-End TestingDockerRelational DatabasesDocument-Based DatabasesDocument Processing

Soft Skills

Excellent CommunicationCollaboration SkillsEntrepreneurial Mindset

Tools & Technologies

Claude CodeAI ServicesOWASP Security Guidelines

Industry Keywords

AuditAccountingFintechEvent-Driven ArchitectureDomain-Driven Design

Tech Stack

Tools & technologies

AzureCloudDockerPythonReactTypeScript

About the role

Key responsibilities & impact

Design and build production APIs and services, primarily in Python and C#, that power financial statement review workflows.
Develop AI-powered agents and workflows that automate the preparation and checking of financial statements, integrating LLMs and document-understanding pipelines.
Contribute to the React web front end, where auditors review, correct, and approve results.
Keep results trustworthy by pairing LLMs with deterministic checks, correctness is never left to guesswork.
Integrate with Azure and its AI services.
Implement security controls aligned with OWASP and OWASP GenAI security guidance.
Architect services and systems using well-established design principles, anticipating future use cases.
Write robust, production-ready code that anticipates edge cases, unit, integration, and end-to-end tests are part of the deliverable, not an afterthought.
Raise the engineering bar through high-quality code reviews, technical mentorship, and establishing best practices.
Diagnose complex issues across services and use operational data to drive stability improvements.
Participate in the on-call rotation and stay accountable for what you ship.
Break down epics, align dependencies, and help the team navigate ambiguity.
Partner with product managers and designers to shape solutions, refine the roadmap, and simplify technical approaches.
Foster a culture of documentation and knowledge sharing within the team and with business stakeholders.
Use AI-assisted engineering effectively and responsibly, critically evaluating AI output and helping the team adopt it well.
Mentor engineers and contribute to hiring, onboarding, and leveling up the team.

Requirements

What you’ll need

7+ years of experience building applications with a modern backend stack.
Experience with object oriented language is required. Experience with Python is preferred.
Hands-on experience with TypeScript and a modern front-end framework such as React.
Strong experience building, deploying, and maintaining APIs on a major cloud platform (we use Azure).
Strong fundamentals of software architecture and system design.
Experience with relational and document-based databases.
A quality-first mindset, testing (unit, integration, E2E) is second nature.
Proficiency with AI-assisted engineering tools (we use Claude Code).
Experience with Docker and containerized deployments.
Excellent communication and collaboration skills in English, both written and verbal.
Entrepreneurial mindset with the ability to work effectively in an ever-changing scale-up environment.
Experience building or integrating AI agentic applications in production (LLM orchestration, RAG, evals, prompt engineering) is a nice-to-have.
Experience with document processing (OCR, PDF extraction, layout parsing) is a nice-to-have.
Domain experience in audit, accounting, or fintech is a nice-to-have.
Exposure to Event-Driven Architecture and Domain-Driven Design principles is a nice-to-have.
Experience mentoring engineers or leading technical initiatives is a nice-to-have.

Benefits

Comp & perks

Equity (Stock Appreciation Rights) to share the company's success and growth
Excellent salary package, competitive for top tech talent
Pension plan with a 6% contribution on top of your base salary
28 vacation days per year (full-time) to support your work-life balance
Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office
Daily, freshly prepared lunches by our in-house chef to keep you energized
NS business card for easy commuting to the office
Access to continuous learning and development initiatives to grow your skills
Engage with a vibrant international team spread across five global offices
Company-wide events like DataSnipper GO where global teams come together
Access to OpenUp, a mental health and wellness platform supporting your wellbeing
Friday drinks and various social activities are designed for team bonding and fun