Summary
A fast-growing AI-focused company is seeking a senior backend engineer to build production-grade data systems. The role requires Python expertise, scalable architectures, database knowledge, and ownership of technical decisions.
Highlights
High ownership role in a fast-growing AI environment with strong compensation, technical influence, learning opportunities, and startup culture.
Description
About DQC
At DQC, we’re building agentic data quality software that fundamentally improves how organizations build and operate data systems.
We are a fast-growing startup founded in 2022, headquartered in Munich, and remote-friendly.
Our DQC Platform sits at the intersection of backend systems, modern data stacks, and LLM-driven workflows.
Engineers at DQC have real ownership and a direct impact on product direction and technical architecture.
In This Role, You Can Expect To
Collaborate on a cross-functional team including backend, frontend, and product to deliver excellent customer experiencesOwn the full lifecycle of feature development, from architecture and design to production deploymentMaintain and extend our multi-platform production application with data quality and data improvement features
You’re a Great Addition If You
Have significant experience building and running production-grade software relied on by thousands of usersStrive for quality through maintainable code and comprehensive testingTake ownership and responsibility for what you mergeCommunicate clearly, empathetically, and directlyAre curious, ambitious, and eager to learn and grow with a fast-moving startupAre motivated by opportunities to take on responsibility quickly, shape the product and engineering culture, and grow alongside the company
You Should Apply If You Have
5+ years of professional experience delivering and operating production backend systems3+ years of experience with Python and service-oriented or microservice architecturesStrong experience with relational databases (PostgreSQL, MySQL, etc.)Proven ability to make technical decisions in complex systems, balancing scalability, reliability, and maintainabilitySolid understanding of tools and processes that enable collaborative development (Git, code reviews, shared ownership)Practical experience and interest in using LLM coding assistants as part of your day-to-day workflowStrong written and verbal communication skills in English(plus) Experience with Pydantic, SQLAlchemy, Kratos, Keto, AWS, Kubernetes(plus) Experience with large-scale data systems (e.g., Snowflake, Databricks)(plus) Worked with and follow the latest trends in LLMs like Sonnet, GPT, Qwen(plus) Experience in a fast-paced startup environment
Requirement: An EU work permit.
What We Offer
Above-market compensation and virtual share programStructured onboarding Steep learning curve in a fast-growing AI startupMotivated colleagues, short decision paths, and a genuine startup atmosphereState-of-the-art office near other innovative startupsEmployee benefits, including EGYM Wellpass, fun company events, ...
