Emplacement

Annecy
France
France

Contrat

À plein temps, Durée indéterminée

Date de publication:

2026-09-18

Online to:

2026-11-17
EUR 15.00 HOUR

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Senior Data Analytics

ALPEE
France
2 heures il y a

About the roleWe are looking for a Senior Analytics & AI Engineer who genuinely lives at the intersection ofAnalytics Engineering and AI — someone who understands that the quality of data models iswhat makes or breaks an AI product, and who knows how to build both.This is a hands-on technical role with a strong Analytics Engineering foundation and a growingAI dimension.What you will doAnalytics Engineering — the core of the roleOwn and evolve the semantic layer: curated, documented, and tested dbt models that serve BI, self-service analytics, and ML feature needsDefine and maintain KPI definitions across business domains (Sales, Marketing, Finance, Supply Chain, eCom) — the single source of truth the whole organization relies onDrive data quality, documentation, and observability practices — a broken data contract is treated like a bug in productionCollaborate with Data Engineers on pipeline design and data availability, and with the Data Scientist on feature engineering and model readinessContribute to the semantic layer evolution roadmap as part of the SPINE program2. AI & Agentic — where we are headingContribute to the Agentic AI POC on eCom and Marketing insights ("ChatGPT for Data") — help design what data needs to look like for an agent to reason on it - Support the Profit Margin Agent use case: from data preparation and structuring, to integrationHelp establish MLOps practices on Azure ML: model lifecycle management, monitoring, deployment standards — so the Data Scientist can ship with confidenceEvaluate AI tooling pragmatically — bring a critical, grounded view on what fits our stack and our maturity levelDocument AI patterns and architectural decisions as we discover them, building shared knowledge for the team3. Technical Vision & Team ContributionBring informed technical opinions: propose architectural decisions, evaluate tools, challenge choices with well-reasoned arguments — while staying pragmaticKeep up with the field (models, frameworks, patterns) and bring back what is genuinely relevant to our context — signal, not hypeMentor Analytics Engineers: share best practices, run code reviews, raise the bar on modeling standardsContribute actively to PI Planning, sprint reviews, and architecture discussions — not just executing tickets, but shaping what we buildExperience5+ years in Analytics Engineering, Data Engineering, or a similar role with strong data modeling responsibilityProven track record delivering production-grade dbt models and semantic layers in a complex data environmentHands-on experience with AI or ML tooling in a data context — not necessarily deep ML expertise, but genuine curiosity and practical engagementExperience working in cross-functional environments, collaborating with both technical and business stakeholders

Postuler

Senior Data Analytics

Emplacement

Contrat

Date de publication:

Online to:

Senior Data Analytics

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