Senior Data Engineer (Python | Dataiku | Cloud)

  • Full-time

Company 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! 

Job Description

  • 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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