Catalog Data Solutions Engineer

About the Role

[Employer hidden — sign up to reveal] is launching a major transformation of its product and services repository as part of the Master Catalog project. As Data Solutions Engineer, you will be at the core of the technical implementation - building the pipelines, integrating data sources and ensuring reliable, high-quality data across the organization. Prior exposure to MDM is a plus, not a prerequisite: we're looking for strong data engineering fundamentals above all.

Key Responsibilities

• Build and maintain data ingestion and transformation pipelines (ETL/ELT) connecting source systems to the data hub
• Integrate heterogeneous data sources (CRM, ERP, OSS/BSS, legacy repositories) into a unified data layer
• Implement data quality rules, deduplication logic and reconciliation workflows
• Model data entities (products, services, offers, customers) in line with business and architecture requirements
• Work closely with data architects to translate platform design decisions into scalable technical implementations
• Contribute to the technical onboarding of the selected platform, from initial setup to first data integrations
• Participate in data governance bodies and deliver technical reporting to program steering committees
• Support data consolidation across group entities (Current Co & New Co)

What We Offer

• A greenfield project - you will be one of the first technical builders, joining as the platform is selected and shaping implementation from day one
• Real influence on technical choices: pipeline design, integration patterns, data quality rules
• Direct exposure to complex multi-source environments across a major international telecoms group
• A high-performing Data & AI team, competitive package and strong internal growth opportunities

Required Profile

Core skills - required

• Master's degree (Bac+5) in computer science, data engineering or equivalent
• 5 to 6 years of experience in Data and/or AI, with a strong focus on data engineering and pipeline development
• Strong SQL skills and solid experience in relational and semantic data modelling
• Proficiency in ETL/ELT technologies (Talend, Informatica, dbt, Apache Spark, Kafka or equivalent)
• Experience integrating heterogeneous data sources (CRM, ERP, legacy systems)
• Full professional proficiency in both French and English (written and spoken)

Nice to have

• Hands-on experience with a data platform or hub (DWH, Data Lakehouse, or MDM) - recommended
• Familiarity with data quality and reconciliation frameworks - recommended
• Knowledge of TM Forum telecom standards (TMF620, SID/eTOM) - would be a plus
• Experience in agile, multi-stakeholder program environments - would be a plus

Additional Information

You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.

• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
• Professional Development: training programs and upskilling/re-skilling opportunities.
• Career Growth: Internal growth and mobility opportunities within [Employer hidden — sign up to reveal].
• Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
• Reward Programs: Employee Referral Program, Change Maker Awards.

Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. [Employer hidden — sign up to reveal] Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.