Senior Data Engineer

Take a step forward and let Edenred surprise you. Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world. We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment. Dare to join Edenred and get ready to thrive in a globalcompany that will offer you endless opportunities. Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities. We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria. YOUR ROLE 1. Design & Build High-Quality Data Pipelines Develop scalable batch and micro-batch pipelines using the platform’s standard technologies (e.g. Databricks, Spark, SQL, Delta Lake, Azure). Transform and model data to support analytics, reporting, and operational use cases. Implement data pipelines aligned with the platform’s architecture, standards, and best practices. Contribute to the design of reusable components, frameworks, and patterns. 2. Ensure Reliability & Smooth Operations of Data Products Deploy and maintain data pipelines in production according to run protocols. Ensure strong monitoring, alerting, and observability (logs, metrics, lineage). Investigate incidents, perform root-cause analysis, and implement preventive improvements. Optimize performance, cost, and pipeline efficiency. 3. Apply Engineering Standards & Best Practices Follow coding and design standards defined by the Staff Data Engineer and Platform Manager. Write clean, documented, tested, and maintainable code. Contribute to CI / CD for data pipelines, automation, and deployment practices. Participate in peer reviews and support engineering consistency across domains. 4. Collaborate with Product & BI Teams Work closely with Product Managers and domain teams to understand data needs and translate them into implementation designs. Support BI Analysts with performant data models, certified datasets, and quality improvements. Provide technical guidance on feasibility, design options, and trade-offs. 5. Support Continuous Improvement & Technical Debt Reduction Identify and help reduce technical debt in pipelines and data models. Contribute to refactoring and modernization initiatives. Participate in cross-team improvements related to platform features, tooling, and processes. Expected Outcomes Reliable, performant, and maintainable data pipelines. Production issues reduced and resolved faster. Data models that are easy to consume for BI and downstream products. Clear documentation and strong collaboration with product and domain teams. Contribution to a consistent engineering culture across the Tribe. YOUR PROFILE Experience : 5+ years in data engineering or similar role. Technical Skills Strong expertise in SQL, Python, Spark / Databricks. Experience with cloud data platforms (Azure preferred). Knowledge of data modeling, orchestration, CI / CD, and observability. Good understanding of data quality, lineage, cataloging, and governance concepts. Soft Skills Strong communication and teamwork across tech and product. Ability to work autonomously while contributing to a shared vision. Problem-solving mindset and appetite for continuous improvement. #J-18808-Ljbffr