Senior Data Engineer
About the role
At Hello Retail we build the intelligence layer behind modern ecommerce.
Our platform turns raw product and behavioral data into real-time decisions across search, recommendations, and AI agents. The core of this is our Product Intelligence engine – a system that understands products, relationships and buying patterns based on large-scale product data.
We are now looking for a Senior Data Engineer to help scale the infrastructure powering these decisions.
This is not a reporting or BI role. You will build production systems that directly affect revenue for thousands of webshops.
What you will work on
You will design and operate the data backbone that enables our agents across our solutions.
Typical projects:
- Large-scale product ingestion pipelines
- Event processing & enrichment
- Feature generation for ML systems
- Real-time decision data models
- High-throughput service performance
- Reliability & observability of distributed systems
You will work closely with product, ML and other engineers to make intelligent decisions possible.
Tech stack
We value strong engineering fundamentals over exact tools – but relevant experience matters.
Core
- Python (primary language)
- MongoDB
- Queue / streaming systems
- Distributed workers & async processing
- APIs & microservices
Also used
- Docker, Kubernetes & cloud infrastructure
- Rust
- Caching layers
- Retrieval & search systems
- ML feature pipelines
- Large dataset processing
AI-native engineering
We actively use AI coding tools as part of daily development.
You should be comfortable working with tools such as:
- Claude Code
- Codex
- Similar LLM-assisted development environments
The ideal candidate
What we are looking for
You have built real systems – not just scripts.
You have experience with:
- Production Python systems
- Scalable data pipelines
- High-volume event processing
- MongoDB or document databases
- Queue based architectures (Kafka, RabbitMQ, SQS or similar)
- Debugging performance and failure modes
- Designing systems other engineers can safely build on
Nice to have
- Recommendation or personalization systems
- ML data preparation pipelines
- Ecommerce domain experience
What you get
- A senior engineering team with high autonomy
- Close collaboration between product, ML and engineering
- Onsite collaboration with flexible workdays
- Competitive salary
- A culture that values building technology that users actually use