Senior Data Platform Manager H/F

Ai. Bull
France
27 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Languages
French

Tech stack

Artificial Intelligence Data Analysis BigQuery Databases Continuous Integration Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Security Relational Databases Database Queries Linux
+34 more
Document-Oriented Databases Executive Information Systems IDoc Python (Programming Language) 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 Restful APIs 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

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), 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., About us 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.

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