Inetum
Technology
SeniorDataEngineer(Python|Dataiku|Cloud)
Neural analysis suggests this role is
optimal for executive candidates.
“Senior Data Engineer (Python | Dataiku | Cloud) at Inetum. Skills: Python, Dataiku, Cloud platforms, Data pipelines. Design data solutions. Build data solutions”
Industry & Context.
Problem-solving skills; Troubleshoot complex issues
What They're Looking For.
Must Have
Python skills, Mandatory experience with Dataiku, Solid knowledge of CI/CD, Solid knowledge of unit testing, Solid knowledge of Git, Experience with cloud platforms, Experience with Docker, Advanced SQL, Advanced database knowledge, Good understanding of ETL processes, Good understanding of data modeling, Fluent English
Nice to Have
Experience mentoring junior team members
What You'll Do.
Design data solutions
Develop scalable data pipelines
Develop scalable data models
Work with cloud platforms
Work with containerization
Optimize ETL processes
Maintain ETL processes
Apply CI/CD best practices
Industrialize solutions
Collaborate with business teams
Collaborate with technical teams
Implement secure data access
Implement efficient data access
Implement secure data exposure
Implement efficient data exposure
Ensure data governance
Ensure data compliance
Participate in code reviews
Contribute to technical standards
Troubleshoot data engineering issues
Solve data engineering issues
Mentor junior team members
Support knowledge sharing
How You'll Work.
Team & Collaboration
Business and technical teams
Process & Methodology
Agile
Full Job Description
Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic, inclusive workplace that values diversity, where creativity and collaboration thrive. We operate in 19 countries and have more than 28,000 employees worldwide. If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the place for you! Come be Inetum! * Design and build data solutions for complex integration projects (APIs, data virtualization, modern data tools) * Develop scalable data pipelines and models using Python and Dataiku * Work with cloud platforms (AWS / IBM) and containerization (Docker) * Optimize and maintain ETL processes for performance and reliability * Apply CI/CD best practices to industrialize and deploy solutions * Collaborate with business and technical teams to validate and improve solutions * Implement secure and efficient data access and exposure across systems * Ensure data quality, governance, and compliance * Participate in code reviews and contribute to technical standards * Troubleshoot and solve complex data engineering issues * Mentor junior team members and support knowledge sharing ## Qualifications * Strong Python skills (Pandas, Polars, SQLAlchemy, Psycopg2, boto3) * Mandatory experience with Dataiku * Solid knowledge of CI/CD, unit testing, and Git * Experience with cloud platforms (AWS, IBM) and Docker * Advanced SQL and database knowledge (PostgreSQL, Oracle) * Good understanding of ETL processes and data modeling * Familiar with Agile tools (Jira, Confluence) * Knowledge of APIs, data integration, and data virtualization * Understanding of data governance and data quality * Strong analytical and problem-solving skills * Experience mentoring junior team members * Fluent English
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