Question
Full-time
2-5

Data Engineer – Global Markets

3/4/2026

The role involves performing and documenting data analysis for various business use cases, defining, implementing, and testing data models, and designing and developing Data Warehousing components including ETL/ELT processes and Datamarts. Responsibilities also include optimizing data processes, providing incident support, and contributing to technical improvements.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

No

About The Company
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. 🏅 Top Employer Europe 2025
About the Role

Company Description

Inetum is a global leader in IT services, dedicated to providing 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 with 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

Our team plays a key role in providing high‑quality data to the Global Markets front office. We work across the full data lifecycle, from data feed industrialization to ETL/ELT processes, data warehousing and performance optimization.

If you enjoy working with complex datasets, building scalable solutions and contributing to high‑performance environments, this opportunity is for you!

Main Responsibilities

  • Perform and document data analysis for multiple business use cases.
  • Define, implement and test data models.
  • Design and develop Data Warehousing components, including ETL/ELT processes and Datamarts.
  • Optimize data processes, ensuring efficient queries and effective memory management.
  • Provide support in case of incidents and contribute to service continuity.
  • Support the definition and implementation of technical improvements in alignment with IT stakeholders

Qualifications

  • Advanced SQL skills and strong experience in Oracle environments (mandatory).
  • Professional experience with SSIS (minimum 2 years).
  • Solid experience with Python for data processing.
  • Experience with GIT (Bitbucket preferred).
    English – Advanced/Fluent (mandatory).

Soft Skills

  • Strong communication skills.
  • Excellent analytical abilities, balancing detail orientation with a high‑level perspective.
  • Team spirit and collaborative mindset.
  • Adaptability and comfort working in dynamic environments.
  • Strong client focus and commitment to high‑quality delivery.

Additional Information

 

 

Key Skills
SqlOracleSsisPythonGitBitbucketData AnalysisData ModelingData WarehousingEtlEltDatamartsCommunication SkillsAnalytical AbilitiesClient Focus
Categories
Data & AnalyticsSoftwareTechnologyFinance & Accounting
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