Join a fast-moving team replacing manual data rules with agentic AI. You will own the full lifecycle of backend features—from architecture to production—building a platform that automatically detects and fixes data issues for industrial and healthcare giants. This is a high-impact role at the intersection of modern data stacks and production-grade LLM workflows.
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Senior Backend Engineer at DQC
Are you a Senior Backend Engineer who thrives at the intersection of Python and Agentic AI? Join this high-growth Munich startup founded by ex-BCG leadership to build the future of autonomous data quality. You'll own the full lifecycle of features that automatically detect and fix data issues across enterprise stacks like Snowflake and SAP. With a culture that embraces agentic coding, zero bureaucracy, and meaningful equity, this is your chance to shape a product from the ground up while building at the frontier of LLM production workflows. We're looking for builders who want real ownership and direct impact.
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Location
Munich, Germany
Compensation
Not Disclosed
Company
DQC
Role overview
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
- Design and scale complex microservice architectures using Python, FastAPI, and PostgreSQL to handle massive enterprise data workloads.
- Build and deploy LLM-driven workflows that integrate human-in-the-loop feedback with autonomous agents for real-time data improvement.
- Own end-to-end feature delivery, collaborating with cross-functional teams to maintain a multi-platform production application used by thousands of users.
Who this is a fit for
- Has 5+ years of experience delivering production backend systems with at least 3 years focused on Python and service-oriented architectures.
- Demonstrates practical experience using LLM coding assistants in their daily workflow and remains eager to experiment with the latest models like Sonnet and GPT-4.
- Possesses strong relational database expertise (PostgreSQL/SQLAlchemy) and a background in operating software within AWS or Kubernetes environments.
Why this role is remarkable
- Work at the frontier of Agentic AI where your code doesn't just analyze data but automatically fixes broken records across Snowflake, Databricks, and SAP.
- Led by a serial tech entrepreneur and ex-BCG Digital Ventures engineering lead, offering a high-growth environment with zero bureaucracy and steep learning curves.
- Influence the very foundation of the engineering culture and product direction while receiving meaningful virtual equity (VSOP) in a scaling startup.
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What happens next?
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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.