Sr Data Engineer

Permanent Regular

Job Description:

Pluxee is a global player in employee benefits and engagement that operates in 31 countries. Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits.
Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers and 1.7 million merchants.
Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet.

** Your next challenge
** As part of our global digital transformation journey, you will play a key role in designing, scaling, and maintaining the data infrastructure that powers the
** Cobee by Pluxee
** digital benefits platform.

You’ll ensure that data is collected, processed, and made accessible in a reliable and secure way — enabling teams across Pluxee to make informed decisions and deliver value quickly and safely to millions of users worldwide.

As a
** Senior Data Engineer,
** you’ll champion data quality, automation, and performance, while fostering a culture of collaboration, observability, and continuous improvement within our Data Product team.##  
** What you’ll be doing
** As a Senior Data Engineer, you will:
* Participate in the
** development and administration
** of the Data Platform as a product.
* Support Product and Engineering teams in leveraging the Data Platform.
* Manage and monitor all Data Platform components running on
** Kubernetes**, ensuring high availability and scalability.
* Apply
** best practices in Continuous Integration and Delivery (CI/CD)**.
* Contribute to the overall
** data quality strategy
** within Cobee by Pluxee.
* Develop
** tools and best practices
** to enable other teams to easily ingest new data tables, apply quality checks, and self-serve.
* Be part of the
** Data Product Team**, empowering engineers and data analysts to work autonomously with data and extract valuable insights.
* ** Design and maintain batch and real-time data pipelines
** to support product and engineering teams.
* ** Collect, process, and clean data
** from multiple sources using SQL, Python, or any fit-for-purpose language.
******** You’re a match
** You’re the right fit if you bring:
* Proven experience working with
** Kubernetes
* * and
** Helm charts
** for deploying data workloads.
* Basic knowledge of
** AWS services**.
* Strong understanding of
** monitoring, data observability, and quality metrics**.
* Familiarity with
** data orchestration frameworks** (Dagster, Airflow, etc.).
* Hands-on experience with
** Kafka** (Kafka Connect, Schema Registry, etc.) for streaming data ingestion.
* Experience building
** data tools to democratize
** data access across teams.
* Experience in building and maintaining
** analytical databases**, and in designing high-performance data models.

Experience with
** Click House
* * is a plus.
* Experience integrating
** diverse data sources** (APIs, databases, files) using tools such as
** Airbyte
* * or custom-built pipelines.
* Programming proficiency in
** Python, Go**, or another relevant language.
* Understanding of
** DBT
* * or similar transformation frameworks used by analysts to build and maintain models.

You’ll thrive in this role if you’re comfortable communicating in English and Spanish, enjoy collaborating with multicultural teams, and are motivated by solving complex data challenges in a global environment.***
* ** To get this challenge
*** Video call with a member of the People team to get to know you and your motivations.
* Discussion with the Product Manager and Engineering Manager about your experience, ambitions, and fit within Cobee by Pluxee Data Product Team.
* Technical conversation with team members , including an
** architectural challenge
** to explore your technical skills and problem-solving approach.***
* ** Your team
** You’ll be part of the
** Data Product…