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📍 Remote | Full-Time
Excelia is a multinational Consulting, Technology, and Professional Services company with over 25 years of experience and a presence in more than 50 countries across Europe, Latin America, and the United States.
We are looking for a Data Engineer to join a global SaaS platform team and contribute to the evolution of cross-platform analytics capabilities, enabling data-driven insights across customer service and omnichannel operations.
Design, build, and maintain scalable data pipelines and analytical data models.
Integrate data from platforms such as Genesys Cloud, Microsoft Dynamics 365, CX systems, and other enterprise sources.
Develop and optimize ETL/ELT processes, batch and near real-time data pipelines.
Ensure data quality, governance, traceability, and observability.
Collaborate with Product, Analytics, BI, and Engineering teams to support reporting, AI, and business insights initiatives.
Contribute to modern analytics and event-driven architectures.
Proven experience in Data Engineering and cloud-based data platforms.
Strong expertise in SQL, analytical data modeling, and data transformation.
Experience with ETL/ELT frameworks, REST APIs, and batch/near real-time processing.
Hands-on experience with AWS and/or Azure, Data Lakes, and analytical environments.
Knowledge of data governance, lineage, quality controls, and monitoring practices.
Ability to translate business and reporting requirements into scalable data solutions.
SQL, Python, REST APIs
AWS / Azure
Athena, Redshift, Snowflake, Synapse
Data Lakes
Kafka / Event Bus
Dataverse
100% remote position.
International and multicultural environment.
Opportunity to work on large-scale analytics and data transformation initiatives.
Long-term professional growth and development.
Interested? Apply now and join Excelia's global technology team.