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Senior Data Engineer (AI/ML) Job Opening In Lyon – Now Hiring Coders Connect


Job description

Job Description
Coders Connect is partnering with a cutting-edge data tech company that operates one of the largest real-time social data collection and processing platforms globally — handling tens of millions of posts daily across thousands of nodes worldwide.

They serve top-tier clients in AI, cyber defense, and investment through powerful data and analytics APIs.

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).


Requirements

  • 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.


Benefits

  • 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.

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.




Requirements
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.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


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