Data Engineer (Freelance)
Feeling Ingenious? We can't wait to see what you bring to the team! Apply now!
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 Data Engineer, your mission is to help design, build, and optimise data solutions that support the migration. You’ll work on creating efficient data workflows, ensuring that information is reliable, structured, and ready to power decision-making across the organisation.
This role focuses on enabling seamless data movement and transformation and you’ll play a key part in shaping the platform, strengthening data foundations, and unlocking advanced analytics opportunities.
You’ll take ownership of data solutions end to end, from modelling and transformation to workflow automation, to ensuring performance and quality. Collaborating with an international team, you’ll align technical delivery with business priorities, while promoting best practices in scalability, governance, and reliability.
Here Are the Key Tasks You'll Be Working on Every Day
Design, build, and optimise data workflows that support large-scale migrations and transformations, ensuring accuracy, reliability, and performance across different environments.
Contribute to the migration of a modern data platform that combines the scalability of a data lake with the structure and governance of a data warehouse, supporting the Lakehouse architecture.
Collaborate with colleagues in an agile setting, aligning technical delivery with business priorities and ensuring solutions are fit for purpose.
Take ownership of monitoring, troubleshooting, and improving data workflows, continuously enhancing processes for efficiency, scalability, and resilience.
We're Thrilled to Have You Consider Joining Our Team. Here Are the Qualifications We're Seeking
At least three years of experience with Databases and creating scalable data pipelines.
Experience working on Databricks Pipelines, and the ability to manage JSON configuration files, to control how data is manipulated between medallion layers.
Proficiency with Python and SQL (Redshift and Spark).
Working experience with AWS.
Knowledge of data warehouse and data lake concepts, with practical experience preparing and managing data tables.
Strong communication skills in English, both written and spoken.
Skills That Would Make You Shine Even Brighter!
You are familiar with Tableau and Airflow.
- Department
- Data Lake
- Locations
- Portugal
- Remote status
- Fully Remote
- Daily salary
- €250 - €350
- Employment type
- Full-time