Company Description
Inetum is a European leader in digital services. Inetum’s team of 28,000 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 2.5 billion euros in 2023.
Job Description
- Explore, clean, and analyze large and complex datasets to support business objectives
- Design and implement scalable data processing to handle large volumes of data efficiently and effectively. Optimize and fine-tune these pipelines for performance and reliability
- Collaborate with other data engineers, data analysts, and business stakeholders to identify and define use cases, formulate hypotheses, and design solution
- Design high-performance data pipelines
- Participate in project code reviews
- Automate the end-to-end release of artifacts across environments
- Conduct daily ETL job checks and take the necessary actions with production & functional support teams
- Contribute to the integrity of the infrastructure setup (define priorities, efficiently create, track the progress of several issues)
Main Responsibilities:
- Design and implement scalable data processing to handle large volumes of data efficiently and effectively. Optimize and fine-tune these pipelines for performance and reliability.
- Collaborate with other data engineers, data analysts, and business stakeholders to identify and define use cases, formulate hypotheses, and design solution
- Design high-performance data pipelines
- Automate the end-to-end release of artifacts across environments
Qualifications
Technical skills:
- English level: B2
- SQL
- Python
- Solid knowledge and hands-on experience with programming languages
- ETL processes
- Deep understanding of the software development cycle
Soft skills:
- Strong problem-solving skills with the ability to think critically, analyze complex problems, and derive actionable insight from data.
- Written and verbal communication skills. Ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Ability to work effectively in cross-functional teams and collaborate with individuals from diverse backgrounds and areas of expertise.