Senior Data Platform Manager H/F Eviden
- Yvelines - 78
- CDI
- Télétravail partiel
- Bac +3, Bac +4
- Secteur informatique • ESN
- Exp. 1 à 7 ans
Les missions du poste
Data Engineer Bull Enterprise Data Hub
Contract: CDI (Permanent)
Team: Data Platform, BL Advanced Computing (HAQ)
Reports to: Data Platform Lead
Locations: Les Clayes-sous-Bois (Paris) Angers Échirolles (Grenoble) Remote hybrid (up to 3 days/week WFH)
The Role
We are building the Bull Enterprise Data Hub a centralized data platform that consolidates product data across 8+ source systems (SAP, Hotspot, Windchill) into a unified, versioned, API-first platform.
The platform powers:
* HPCCAT product catalog for HPC, AI & Quantum
* Executive dashboards GATE program KPIs, S&OP forecast, roadmap views
* Machine-to-machine integrations REST APIs consumed by quoting, digital twin, and external tools
You will join a small, high-impact team (3 people) and own the data engineering layer: ingestion pipelines, transformation models, data quality, and warehouse infrastructure.
What You'll Do
* Build and maintain ETL/ELT pipelines to ingest data from SAP, HotSpot, vendor feeds, and internal databases
* Design and implement dbt transformation models (staging intermediate marts) on PostgreSQL and DuckDB
* Ensure data quality implement tests, monitoring, anomaly detection, and reconciliation with source systems
* Develop and extend the REST API (FastAPI/Python) for data access by downstream applications
* Manage infrastructure Docker Compose, PostgreSQL 16, Alembic migrations, CI/CD
* Collaborate with Product Managers to understand data needs and translate them into reliable data models
* Document data models, lineage, and operational runbooks
Tech Stack
Layer
Technology
Database
PostgreSQL 16
Analytical Engine
DuckDB (OLAP, columnar)
Transformations
dbt-core + dbt-duckdb + dbt-postgres
Backend API
FastAPI (Python 3.11+)
ORM
SQLAlchemy 2.x
Auth
Keycloak (SSO)
Containers
Docker Compose v2
Migrations
Alembic
Frontend
Streamlit
Version Control
Git / GitHub Enterprise
OS
Linux
#BULL
Le profil recherché
Must-Have
* 3 to 5+ years experience as Data Engineer, Analytics Engineer, or Backend Engineer with strong data focus
* SQL mastery complex queries, window functions, CTEs, query optimization
* Python proficiency production-quality code, not just scripts
* Experience with relational databases (PostgreSQL preferred)
* ETL/ELT pipeline design batch and/or streaming, error handling, idempotency
* Docker comfortable building and managing containerized applications
* Linux CLI-fluent, can troubleshoot server issues
* Autonomy you'll often be the only person working on a problem. You need to figure things out independently
Nice-to-Have
* dbt experience (any adapter)
* DuckDB or other analytical engines (ClickHouse, Snowflake, BigQuery)
* FastAPI / REST API design
* Alembic / database migration tooling
* SAP data extraction (IDocs, BAPIs, RFC, or file-based exports)
* Keycloak / SSO / PKI implementation
* Experience in industrial / manufacturing / product data environments
* French language (working language of the team and stakeholders)
Infos complémentaires
* High autonomy direct impact on architecture decisions from day 1
* Modern stack open source, no legacy Java/COBOL
* Visible work your pipelines feed executive dashboards and cross-team integrations
* Hybrid flexibility up to 3 days remote per week
* Growth path as the team scales, senior roles and specializations will emerge
* Domain expertise HPC/AI/Quantum is a high-growth market
Les étapes de recrutement
Les étapes de recrutement peuvent varier selon l'offre à laquelle vous postulez.
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Entretien RH (40 min) ou premier contact téléphonique (20 min) avec un recruteur
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Présentation de votre profil au manager de l'équipe
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Entre 1 et 3 entretiens selon votre profil : technique, avec le manager et/ou RH
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Prise de décision sur votre embauche
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Envoi de la Lettre d'Intention d'Embauche
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Envoi de votre contrat de travail
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Bienvenue chez Eviden !
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Eviden en images
Publiée le 25/06/2026 - Réf : 541750 44270816
