Назад
Company hidden
12 дней назад

Data & AI Engineer

64 000 - 96 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data & AI Engineer (Cloud Data Engineering/AI): Designing scalable data pipelines, models, ETL processes, and machine learning workflows for Sanofi’s commercial digital transformation with an accent on cloud reliability, data quality, governance, and AI-ready data. Focus on building production data platforms, automating ingestion and monitoring, defining interfaces between data products and applications, and implementing CI/CD and infrastructure-as-code standards.

Location: Paris, France; hybrid work with remote work available up to 2 days per week

Salary: €64,000–€96,000 per year, plus short-term and collective variable compensation

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines, with a focus on digital transformation and improving patient outcomes.

What you will do

  • Design and implement scalable, reliable end-to-end data pipelines and cloud data warehouse solutions.
  • Develop and optimize data models, ETL processes, machine learning workflows, and AI-ready datasets.
  • Translate business requirements into technical solutions and define interface contracts between data products and applications.
  • Ensure data quality, standardization, observability, governance, compliance, and privacy across systems.
  • Automate data ingestion and monitoring, track operational KPIs, troubleshoot issues, and maintain pipeline health.
  • Promote engineering patterns, CI/CD integrations, containerized deployments, code reviews, documentation standards, and team knowledge sharing.

Requirements

  • Proven experience designing and implementing data pipelines and data warehouse solutions in cloud environments, with typically eight or more years of relevant experience; equivalent skills and capabilities are accepted.
  • Hands-on production experience with data modeling, ETL/ELT processes, and pipeline orchestration.
  • Experience working cross-functionally and translating business needs into technical solutions.
  • Strong SQL and data warehousing skills; Snowflake is preferred.
  • Experience with ETL tools such as IICS or equivalent, data transformation tools such as dbt, and Python for data processing.
  • Strong cloud platform experience, preferably AWS, including orchestration frameworks such as Airflow.
  • Advanced knowledge of CI/CD, preferably GitHub Actions, Git version control, and infrastructure as code, preferably Terraform.
  • Experience designing and implementing engineering patterns and technical standards.
  • Master’s degree in Computer Science, Engineering, or a related field; English is mandatory.
  • Collaborative mindset, problem-solving ability, initiative, adaptability, and effective communication with technical and business stakeholders.

Culture & Benefits

  • Fixed salary paid over 12 months, with short-term and collective variable compensation based on hirify.global Group results.
  • Health insurance, wellness programs, enhanced illness support, teleconsultation, and second medical opinion coverage.
  • 31 days of paid leave plus RTT depending on status, and remote work up to 2 days per week.
  • Extended maternity and parental leave, including at least 14 weeks of gender-neutral parental leave.
  • Public transport coverage up to 80%, group savings and retirement plans with employer matching.
  • Internal and international mobility, learning and development opportunities, training, certifications, inclusion programs, and peer-recognition benefits.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →