Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Мало
€48к-72к/год
€43к€63кмедиана€77к
По похожим ролям (50) ~ €63к/год
На СНГ рынке: $3.4к/мес ($2.4к - $4к)
92
Крутая вакансия
развернуть
Сильное предложение от крупного игрока в биофарме с современным стеком, зарплатой выше рынка и отличным соцпакетом по европейским стандартам.
Кликните для подробной информации
Современный стекДостойная оплатаТрендовый доменОтличный отдыхЧеткие задачиПерспективы роста
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data & AI Engineer (Cloud Data Engineering/AI): Building and optimizing scalable data pipelines, warehouse solutions, ETL processes, and machine learning workflows for Sanofi’s manufacturing and supply chain operations with an accent on data quality, cloud performance, and operational reliability. Focus on designing production data models, orchestrating ingestion and monitoring, and applying CI/CD, DataOps, and responsible AI practices.
Location: Lyon, France; hybrid work with Monday, Tuesday, and Wednesday onsite and remote work up to 2 days per week.
Salary: €48,000–€72,000 per year.
Company
hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines, with this role supporting digital transformation in manufacturing and supply chain.
What you will do
Own delivery of defined data pipeline workstreams, transforming raw data into scalable and reliable insights in cloud environments.
Develop, tune, and refactor data models for query performance, workload efficiency, and maintainability.
Partner with cross-functional teams to translate business requirements into technical solutions and delivery plans.
Implement data quality checks, governance standards, remediation paths, observability, and operational monitoring.
Build and improve ETL processes and machine learning workflows that provide clean, AI-ready data for applications and downstream products.
Apply data engineering practices including design patterns, CI/CD integrations, containerized deployments, code reviews, and technical documentation.
Requirements
Experience owning delivery of data pipeline workstreams and data warehouse solutions in cloud environments.
Hands-on production experience improving data models, ETL/ELT processes, and pipeline orchestration.
Experience partnering with cross-functional teams to shape technical solutions and delivery plans.
Confident SQL skills on modern data warehousing platforms, including performance-aware design; Snowflake is preferred.
Hands-on experience building and improving ETL/ELT pipelines, data transformation models, and Python data processing components; IICS or equivalent and dbt are preferred.
Experience operating cloud data services and orchestration frameworks for production workflows; AWS and Airflow are preferred.
Practical DevOps and DataOps experience with CI/CD, version control, and infrastructure as code; GitHub Actions and Terraform are preferred.
Ability to choose and apply engineering patterns and technical standards for defined workstreams.
Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field; mandatory English proficiency.
Ability to use approved AI-enabled tools in accordance with hirify.global’s Responsible AI and data governance standards.
Culture & Benefits
Fixed salary over 12 months, short-term incentive, and collective variable compensation based on hirify.global Group results.
Quality health insurance, teleconsultation, second medical opinion coverage, wellness programs, and enhanced parental and illness support.
31 days of paid leave plus RTT depending on status, with hybrid work and up to 2 remote days per week.
Public transport coverage of up to 80%, group savings and retirement plans, and employer matching.
Internal and international mobility, learning and development opportunities, training programs, and professional certifications.
Collaborative, diverse, international, and purpose-driven environment focused on responsible AI, digital innovation, and continuous improvement.
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 →