Overview
Join to apply for the Data Engineer - AI Factory - F/M/NB role at Cegid.
About Us
Cegid is a European leader in cloud business management solutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail and entrepreneurial sectors. In today’s rapidly changing world, Cegid & its 4,400 employees make more possible by helping their 500,000 customers unleash their potential thanks to innovative and purposeful business solutions. Make more possible is our vocation and reflects how we work for our clients to shape their future and our industries’ future.
Your Main Objectives As a Data Engineer
You will be responsible for building and maintaining data pipelines within our internal Data Platform, with a focus on aggregating operational data from various sources across the organization. As a Data Engineer, you will:
* Design, build, and maintain efficient, reusable, and reliable data pipelines to aggregate operational data from various sources
* Collaborate with data scientists and other stakeholders to understand data needs and deliver solutions that meet business requirements
* Implement data quality checks and monitoring to ensure the accuracy and reliability of data
* Develop and maintain technical documentation for data pipelines and related systems
* Automate lifecycle and deployment of data pipelines integrating CI/CD and dataOps principles
* Stay up-to-date with industry trends and best practices in data engineering
About You
* Educational and Experience Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 2+ years of Data Engineering experience
* Technical Skills: Proficiency in Databricks, Microsoft Azure, backend development in Python, data modeling, data warehousing, ETL/ELT processes, and CI/CD on Azure DevOps using YAML and Terraform
* Knowledge and Familiarity: Strong understanding of data structures, algorithms, software design principles; familiarity with ML, Generative AI, and data governance focusing on security and privacy (GDPR) is a plus
* Soft Skills: Strong communication and collaboration skills with the ability to work independently and manage multiple priorities in a fast-paced environment; good level of English spoken and written
We are not just looking for professional skills; we’re also looking for talents who want to express their potential and open up new possibilities with us. Curiosity, team spirit and customer service mindset make the difference.
Skills
Python, Data, Data Engineer
Seniority level
* Entry level
Employment type
* Full-time
Job function
* Information Technology
Industries
* Software Development
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