This is Us
Ingenious Lion is a Digital Tech Hub designed exclusively for Publicis Groupe, one of the world’s leading marketing agencies.
As the marketing industry continues to drive digital transformation, Publicis Groupe empowers its clients with innovative data solutions and media ecosystems. Ingenious Lion has one mission: to partner with Publicis’ global teams in creating innovative data and digital tech products that will shape the future.
What makes us successful? Two key ingredients: we seek the good and the best, meaning we cultivate a thriving company culture. We’re all about creating an environment where people don’t just work; they grow, challenge themselves, strive for excellence, and are recognized for their incredible value to the team.
If you're curious to learn more about us, here are four things you should know:
- Our company culture is anchored in five powerful values: Joy, Honesty, Connectivity, Own Challenger, and Greater World. Do these values resonate with you?
- We are committed to diversity and inclusion because we believe our unique differences make us stronger.
- We encourage open communication and create an environment where everyone’s voice is heard and every contribution is valued.
- Finally, we’re somewhat “obsessed” with quality. We believe in continuous learning and knowledge sharing; when we hit a roadblock, we don’t just complain—we create solutions to overcome it.
In one sentence, we are a group of people with an unusual aptitude for generating great ideas, groundbreaking concepts, and infusing them with positive energy and good fun.
Feeling Ingenious already?
A Sneak Peek at Your Future Role
As a BI Backend Developer (Junior/Mid), your role is to support and assist the team with developing and maintaining backend systems that power our BI solutions, ensuring data is reliable and well-structured for analysis.
You’ll work closely with more experienced developers to help build and optimize data workflows, following best practices and established guidelines to ensure smooth operation across our BI platforms.
This is a great opportunity to show and grow your skills in a collaborative environment, contribute to projects that support business decisions, and gain hands-on experience in delivering effective, data-driven solutions.
Here Are the Key Tasks You'll Be Working on Every Day
- Support the implementation of data pipeline tickets, including adjustments to data fields and tables, based on technical guidance and business input.
- Assist with data operations tasks, from updating columns to managing more complex data movements, while building autonomy and confidence in handling these workflows.
- Maintain data processes to ensure accurate data flow that supports reporting needs and contributes to system reliability.
- Work closely with teams to understand the business rules, validate data results, and ensure the technical outcomes meet expectations.
- Engage in client interactions to clarify requirements, estimate ticket complexity, and communicate technical limitations or needs, while contributing relevant input to functional discussions.
We're Thrilled to Have You Consider Joining Our Team. Here Are the Qualifications We're Seeking
- Two years of professional hands-on experience developing data warehouse or data lake solutions, with an understanding of data modeling principles.
- Proficiency in Python and building reliable ETL/ELT pipelines to support business-driven data flows.
- Experience with SQL, including query building, optimization, and database management.
- Solid experience with Databricks, handling workflows, and managing data pipelines.
- Proficiency with Azure services such as Blob Storage and Key Vault, and the ability to use them in real-world data scenarios.
- Understanding of data architecture concepts, including dimensional modeling and versioned data handling (e.g., SCD).
- Knowledge of Gitflow processes for CI/CD, contributing to pipeline development and branch management.
- Fluent in English, both verbal and written.
Skills That Would Make You Shine Even Brighter!
- You are familiar with AWS.
- You have exposure to Data Factory.
- You are familiar with the media/advertising industry.
