Join a high-caliber team of 15 building the AI-native layer for enterprise data quality. You will own frontend development using React and TypeScript while contributing to the Python backend. By automating data fixes with proprietary ML and LLMs, you’ll help thousands of users trust the data powering their most critical business decisions.
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Software Engineer at DQC
Are you a React expert ready to build the future of AI-driven data quality? This Munich-based startup, founded by BCG AI veterans, is seeking a Software Engineer to own frontend development. You'll join an AI-native engineering team that utilizes agentic coding tools like Claude Code and Codex to ship faster and smarter. With a competitive salary up to ‑70k and meaningful equity, you'll help build a platform that automatically detects and fixes messy enterprise data for thousands of users. If you're a curious engineer who thrives in fast-paced environments and loves the latest LLM trends, this is your chance to shape a high-growth product from the ground up.
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Location
Munich, Germany (or Remote)
Compensation
€55k-€70k + Equity
Company
DQC
Role overview
Software
DQC provides an AI-powered platform for data quality management that automatically detects issues in master and transactional data, generates improvement suggestions using AI and human expertise, and prevents problems at the source through integrations and real-time checks. The platform leverages proprietary machine learning and large language models to create data quality rules, improve data at source, and ensure fit-for-purpose data for businesses.
What you will do
- Own the full lifecycle of feature development from architectural design to production deployment for a multi-platform data quality application.
- Collaborate in a cross-functional team to build complex data improvement features used by thousands of enterprise professionals.
- Shape the engineering culture and product roadmap while working closely with the Frontend Lead and CTO in a fast-paced environment.
Who this is a fit for
- Has 3+ years of professional experience delivering production-grade frontend systems with at least 2 years in a React/TypeScript codebase.
- Possesses a strong interest in LLMs and practical experience integrating AI assistants into their development workflow to increase shipping velocity.
- Demonstrates the ability to work across the stack in Python and the maturity to make technical decisions that balance scalability with maintainability.
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Why this role is remarkable
- Work at an AI-native engineering firm where you'll use agentic coding tools like Claude Code and Codex daily to push the boundaries of software development.
- Join a venture-backed startup founded by former BCG Digital Ventures and AI ambassadors with deep expertise in launching successful enterprise products.
- Take on significant ownership with a meaningful equity stake (0.01–0.05%) in a company solving a multi-million dollar problem for major enterprise clients.
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I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and DQC wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.