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Senior Data Engineer

TEC Partners

Paris

Sur place

EUR 70 000 - 90 000

Plein temps

Il y a 30+ jours

Résumé du poste

A pioneering AI-driven startup is seeking a Data Engineer to lead initiatives in designing scalable data infrastructure and developing internal tools for data access. The ideal candidate will possess a Master's/PhD and over 7 years of data engineering experience, with robust knowledge in programming and cloud platforms. Join a dynamic environment focused on innovation in material sciences to reduce CO emissions.

Prestations

Equity package (BSPCE)
Standard French PTO
Flexible work environment

Qualifications

  • 7+ years of data engineering experience.
  • Proficiency in multiple programming languages.
  • Strong SQL and NoSQL database experience.

Responsabilités

  • Design and build scalable data infrastructure integrating diverse sources.
  • Build optimized data pipelines for simulation, textual, and experimental data.
  • Implement secure, scalable data storage systems supporting ML workflows.

Connaissances

Data modeling
ETL
Warehousing
Programming (Python, Rust, Scala, Go)
SQL
NoSQL
Cloud platforms (AWS, GCP)
Infrastructure as code

Formation

Master's or PhD in Computer Science or related field
Description du poste

We're partnered with an AI-driven startup with 5M+ funding, developing generative AI to discover new materials and reduce CO emissions in carbon-intensive industries.

The Role

Reporting to the CTO, you'll lead two key initiatives :

  • Design and build scalable data infrastructure integrating diverse sources (text, simulations, experiments) in support of ML and LLM applications.
  • Develop internal tools enabling AI-enhanced data access and foster a data-centric culture

Key Responsibilities

  • Build optimized data pipelines for simulation, textual, and experimental data
  • Implement secure, scalable data storage systems supporting ML workflows
  • Create automation tools for data processing
  • Establish data governance policies and lineage tracking
  • Collaborate with DevOps on cloud infrastructure integration
  • Partner with scientists to enable data-driven decision making
  • Contribute to open-source projects

Requirements

  • Master's or PhD in Computer Science or related field
  • 7+ years of data engineering experience
  • Proficiency in multiple programming languages (Python, Rust, Scala, or Go)
  • Strong SQL and NoSQL database experience
  • Data modeling, ETL, and warehousing expertise
  • Cloud platform experience (AWS / GCP) and infrastructure-as-code

Nice-to-Have

  • ML pipeline and AI infrastructure experience
  • Open-source contributions
  • Familiarity with scientific data, especially materials science
  • Equity package (BSPCE)
  • Standard French PTO
  • Flexible work environment
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