Senior Data Platform Manager H/F
EVIDEN FRANCE
Canton de Torcy, France
4 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English, French Experience level
SeniorJob location
Remote
Canton de Torcy, France
Tech stack
Artificial Intelligence
Data analysis
Google BigQuery
Databases
Continuous Integration
Information Engineering
Data Infrastructure
ETL
Data Security
Relational Databases
Database Queries
Linux
Document-Oriented Databases
Executive Information Systems
IDoc
Python
PostgreSQL
Online Analytical Processing
Operational Databases
Public Key Infrastructure
Query Optimization
SAP Applications
SAP NetWeaver Data Management
SQL Databases
SQLAlchemy
Data Streaming
Windchill
Enterprise Data Management
Okta
Data Ingestion
Snowflake
Backend
GIT
FastAPI
Database Migration
Containerization
Github Enterprise
Production Code
Front End Software Development
Vertica
Api Design
REST
Streamlit Framework
Data Pipelines
Docker
Web Api
Job description
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
Requirements
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)
About the company
Bull is a story. One with a century of European innovation and a working environment where experts design powerful, sustainable, and sovereign digital solutions, enabling states and industries to retain full control over their data and their AI.
Bull is also thousands of engineers, researchers and passionate tech people shaping the future of high-performance computing, AI, and quantum technologies.
Every day, our teams push the boundaries of what is technologically possible - from next-generation HPC architectures to exascale supercomputers - supported by world-class R&D, more than 1,600 patents, and unique end-to-end capabilities spanning hardware design, software engineering, data science and quantum research.
We are a people-centric, innovation-driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers.