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Company Description
About Inetum
Inetum is a European leader in digital services. Inetum’s team of 27,000 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 2.4 billion euros in 2024.
For further information, please visit www.inetum.com
Job Description
Additional Information
About Inetum
Inetum is a European leader in digital services. Inetum’s team of 27,000 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 2.4 billion euros in 2024.
For further information, please visit www.inetum.com
Job Description
- Design, build, and optimize scalable ETL pipelines using PySpark within the Hadoop ecosystem (Cloudera)
- Perform data modeling to support efficient data processing and analytics
- Develop and maintain Python scripts and Unix shell scripts for automation and data manipulation
- Integrate and manage data flows using Kafka for real-time data streaming (produce and consume via topics)
- Ensure the smooth operation of the CI/CD DevOps chain, including Jenkins, JFrog, and Ansible
- Monitor and troubleshoot data workflows and deployments to maintain high availability and performance
- Supervise and mentor junior developers, providing technical guidance and support
- Participate in workshops and cross-functional meetings to define and implement new data use cases
- Contribute to the definition of new analytical use cases, identifying relevant data and transforming it for reporting
- Lead and participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives)
- Conduct training sessions and ensure knowledge sharing across the team
- 5+ years of experience in data engineering or related field
- Strong proficiency in PySpark, Python, and Unix scripting
- Experience with Kafka, CI/CD tools (Jenkins, JFrog, Ansible), and data modeling
- Excellent problem-solving skills and the ability to make technical proposals
- Strong communication and leadership skills with a passion for mentoring and training
- Strong analytical and problem-solving abilities
- Excellent communication skills to collaborate with technical and non-technical stakeholders
- Ability to manage multiple tasks and prioritize effectively
- Detail-oriented with a focus on data accuracy and usability
- Bachelor’s or master’s degree in computer science, Data Science, or related field
- Fluent English is a must; French will be a plus, but not mandatory
- Knowledge of business intelligence and data storytelling principles
Additional Information
- Full access to foreign language learning platform
- Personalized access to tech learning platforms
- Tailored workshops and trainings to sustain your growth
- Medical subscription
- Meal tickets
- Monthly budget to allocate on flexible benefit platform
- Access to 7 Card services
- Wellbeing activities and gatherings
Key Skills
Ranked by relevance
jenkins
python
kafka
unix
cicd
high availability
storytelling
ansible
devops
hadoop
etl
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- Posted
- Aug 29, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Bucharest
- Company
- Inetum
Industries
Banking
Categories
Consulting
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3 roles aligned with this opportunity
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Senior Data Engineer*
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