Senior Data Engineer (Python | Dataiku | Cloud)
Posted about 23 hours ago
Job Description
You will work on a project focused on the evolution of third-party data ecosystems would aim to streamline the integration of new data and technologies such as data virtualization, APIs, etc., enhancing the accessibility and real-time availability of data across systems.
- Develop the technical solution framework and participate in TPCV modeling
- Develop the TPCV and implement unit tests
- Industrialize the solution according to CI/CD best practices
- Participate in the validation phase with end-users
- Implement the data exposure solution
Qualifications
- Proficiency in Python programming language and libraries such as Pandas, Polars, SQLAlchemy, Psycopg2, ibmboto3, etc
- Mastery of good programming practices (CI/CD, unit testing, versioning, etc.) and Dataiku (mandatory)
- Experience with cloud environments (AWS, IBM, etc.) and containerization using Docker
- Agile Methodologies and tools (Jira, Confluence, ALM)
- Knowledge of ETL (Extract, Transform, Load) processes and best practices/optimizations. Strong understanding of SQL and one or more databases (PostgreSQL, Oracle, etc.)
- English - fluent
Inetum is a European leader in digital services. Inetum’s team of 26,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.2 billion euros in 2025. 🏅 Top Employer in 9 countries
Key team members

Sacha Vekeman

Lionel Bry

Olivier SERFATY

Jacques Pommeraud
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