Senior Data Platform Manager

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