Senior Data Engineer (AI/ML)

📍 Location: Lyon, France (Hybrid)

Coders Connect is ecstatic to have partnered with an innovative tech company that powers large-scale, real-time data processing and analytics for clients across AI, cyber defense, and investment sectors. They handle tens of millions of data posts daily, supporting cutting-edge products that shape decision-making worldwide.

As a Senior Data Engineer, you’ll split your focus between:

🔹 Infrastructure (≈50%)

• Stabilising and optimising a Kafka / S3 / ClickHouse stack running on Kubernetes.
• Automating ETLs and pipelines for high-volume, low-cost ingestion.
• Managing scalability, monitoring, and operational costs.

🔹 Analytics & AI/ML (≈50%)

• Building advanced features: vector search, real-time clustering, predictive analytics, and outcomes-based alerts.
• Integrating embeddings and ML models into product APIs (e.g., trend detection, summarisation).
• Collaborating directly with founders to turn these features into scalable, API-first products.

💼 Tech Environment:

• Data & Infra: Kafka (multi-topic, high throughput), PySpark, S3 (Parquet), ClickHouse (OLAP & vector search), Kubernetes.
• Programming: Python-first (FastAPI, bytewax/stream processors, ML/DL libraries).
• Ops & Monitoring: GitHub Actions/GitLab CI, Prometheus, Grafana.
• AI/ML: Embeddings (Hugging Face), clustering (e.g., k-means/Scikit-learn), PyTorch/TensorFlow (a plus).

🤩 What We’re Looking For:

• 5–7+ years in data engineering, with strong experience building pipelines and APIs in high-scale environments.
• Practical experience with AI/ML workflows (embeddings, clustering, predictive analytics).
• Hands-on with ClickHouse, Kafka, Kubernetes, and Python.
• A pragmatic, results-driven mindset – equally comfortable optimising infra and experimenting with AI-driven analytics.
• Previous scale-up/startup experience is a big plus.

🎉 What’s on Offer

• Position: Senior Data Engineer (AI/ML)
• Location: Lyon, France (hybrid, with flexibility for remote)
• Contract: CDI
• Salary: Base + attractive BSPCE/equity + benefits
• Environment: Small, high-impact team (<5), close collaboration with the founders, fast decision-making, and genuine autonomy.

🤝 Why Join?

This is a high-impact role where you’ll help stabilise and scale a global data backbone while building out the next generation of AI-powered data APIs. If you want to combine solid data engineering with hands-on AI/ML, and have a real say in technical direction and product evolution, this is the place for you.