Description 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
Profile description:
What We’re Looking For
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)
We offer:
What We Offer - 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
Senior Data Platform Manager