Data Engineer – Global Markets at Inetum

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

02 Jun, 26

Salary

0.0

Posted On

04 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Oracle, Ssis, Python, Git, Bitbucket, Data Analysis, Data Modeling, Data Warehousing, Etl, Elt, Datamarts, Communication Skills, Analytical Abilities, Client Focus

Industry

IT Services and IT Consulting

Description

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

Responsibilities

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.