Data Engineer

In close collaboration with the various domain leads and data product owners, you will qualify needs and build solutions within GCP accordingly.

Key Responsibilities During Your Journey

Transformation and Data Cleaning:

A significant part of the role involves taking raw, often messy, data from diverse sources and processing it. This includes cleaning, structuring, and transforming it into "reliable data products" – meaning data that is accurate, consistent, and ready for analysis or consumption by other systems.

Data Quality Assurance:

You will be responsible for implementing tests to ensure the quality and reliability of the data flowing through the pipelines. This is crucial for maintaining trust in the data and the insights derived from it.

Data Product Documentation:

To ensure clarity and accessibility across the organization, you will document the data products you create. This documentation will cover aspects like data definitions, dimensions, key figures, and usage guidelines, fostering a shared understanding.

As a Member Of the Process Excellence Team, You Will

Apply software engineering best practices to analytics (version control, testing, continuous integration).

Propose, transform, and automate non-value-added processes.

WHAT DO YOU NEED TO BE SUCCESSFUL IN THIS ROLE?

University degree in computer science, data science, finance, maths/ physics or comparable work experience.

4+ years working in comparable engineering roles.

Strong programming skills in

SQL

and Python and experience with Cloud Services (preferably in GCP).

Our Tech Stack includes:

BigQuery

for data storage,

Terraform

for Infrastructure as Code,

Docker ,

Cloud Run

and

Kubernetes

for computing,

Airflow

for orchestration, and

GitLab

for CI/CD.

Prior experience with data visualization and data analysis tools such as

Looker

would be an advantage.

Excellent written and verbal communication skills: Fluent in English, French is a plus.

#J-18808-Ljbffr