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
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Design and build data solutions for complex integration projects (APIs, data virtualization, modern data tools)
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Develop scalable data pipelines and models using Python and Dataiku
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Work with cloud platforms (AWS / IBM) and containerization (Docker)
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Optimize and maintain ETL processes for performance and reliability
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Apply CI/CD best practices to industrialize and deploy solutions
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Collaborate with business and technical teams to validate and improve solutions
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Implement secure and efficient data access and exposure across systems
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Ensure data quality, governance, and compliance
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Participate in code reviews and contribute to technical standards
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Troubleshoot and solve complex data engineering issues
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Mentor junior team members and support knowledge sharing
Qualifications
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Strong Python skills (Pandas, Polars, SQLAlchemy, Psycopg2, boto3)
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Mandatory experience with Dataiku
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Solid knowledge of CI/CD, unit testing, and Git
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Experience with cloud platforms (AWS, IBM) and Docker
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Advanced SQL and database knowledge (PostgreSQL, Oracle)
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Good understanding of ETL processes and data modeling
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Familiar with Agile tools (Jira, Confluence)
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Knowledge of APIs, data integration, and data virtualization
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Understanding of data governance and data quality
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Strong analytical and problem-solving skills
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Experience mentoring junior team members
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Fluent English
