About the role

Aplyr's Quick Take

This role is for a Senior Data Engineer focused on designing and maintaining data pipelines and products. You'll work with various teams to ensure data solutions are reliable and scalable, using technologies like Databricks and Azure. It's primarily an individual contributor role with some collaboration.

Good fit

Ideal candidates have several years of experience in data engineering, are comfortable with coding standards, and can work independently while also collaborating with others. A background in building data pipelines and familiarity with cloud platforms is essential.

Worth noting

The company emphasizes a meritocratic culture and diversity, which could be appealing for candidates looking for an inclusive workplace. However, the posting lacks specific details about team size and the overall data strategy.

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 global company 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.

As part of the Data Tribe, the Senior Data Engineer plays a key role in designing, building, and operating high-quality data pipelines and data products that serve multiple business domains.

They work closely with Product Managers, BI Analysts, the Staff Data Engineer, and the Data Platform Manager to deliver reliable, scalable, and well-engineered data solutions on the data platform.

YOUR ROLE

As Senior Data Engineer your key responsibilities are :

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.

Apply now and Vibe with Us!

Skills & Tags

data

Aplyr's read

Edenred is a global leader in employee benefits, attracting professionals passionate about innovative solutions for workplace engagement and well-being.
Synthesized from recent postings & public sources

What's promising

•Edenred's strong global presence offers diverse career opportunities across various regions.
•The company focuses on innovative solutions, appealing to tech-savvy professionals.
•Edenred's commitment to employee well-being aligns with modern workplace values.

What to watch

•The company's global scale may lead to bureaucratic decision-making processes.
•Limited public information about career progression within Edenred.
•Potential cultural challenges due to its diverse international operations.

Why Edenred

•Edenred specializes in employee benefits, setting it apart from general service providers.
•The company offers a wide range of roles, from tech to commercial positions.
•Edenred's focus on employee engagement solutions is a niche market strength.

Aplyr’s read is generated by AI from public sources. Was it useful?