Data Engineer

Package : 50-55 annually + 15% variable pay

The Power of Retail Media

Retail Media has moved from emerging channel to strategic priority. In 2025, global spend reached $171 billion — one dollar in every five spent on advertising worldwide. But the real competition is no longer about budgets. It is about consistently proving that every euro invested leads to new, measurable sales.

About Unlimitail

That’s exactly why Unlimitail exists. Our ambition: to become the #1 Commerce Media Network worldwide by connecting every shopper moment — from discovery to purchase — and turning media investment into measurable, incremental sales.

Built on Carrefour's decade of Retail Media experience, Unlimitail today works with 35 retailers across 21 countries, representing 220 million shoppers and more than 3,000 brands — already the #1 omnichannel Commerce Media Network in Europe.

Joining Unlimitail means joining a company at the crossroads of data, technology, and digital marketing — at the precise moment when the industry is deciding what performance actually means.

Role Overview

As a Data Engineer , you will join our Data/IT team and report to David, CTO . In this role, you will contribute to build and operate reliable pipelines that move data from raw sources into curated, reusable layers. You will ensure quality, consistency, and performance of datasets used by analytics and data science teams, working closely with global stakeholders.

This role is ideal for someone who enjoys operating in a global, Medallion Architecture environment and wants to help shape architecture and standards in a fast‑growing international environment.

Your main responsibilities will include

Data Ingestion & Preparation

• Consume data from multiple sources (APIs, files, databases, partners, internal systems)
• Implement ingestion patterns into the Bronze layer (raw, auditable, reproducible)

Medallion Transformations with dbt

• Develop and maintain dbt projects to build curated datasets
• Design and implement transformations from Bronze > Silver (cleaned, normalized, conformed)
• Define reusable models, macros, and documentation aligned with analytics consumption

BigQuery Engineering & Optimization

• Build and optimize datasets in BigQuery
• Maintain Finops Dashboard and Cost alerting
• Improve performance, partitioning/clustering, and cost efficiency
• Ensure scalable design for large volumes and frequent refresh cycles

Data Quality & Governance

• Implement data quality checks (freshness, completeness, schema drift, anomalies)
• Ensure traceability, versioning, and clear ownership of core datasets
• Maintain documentation and standards for shared data assets
• Partner with Analytics/BI teams (Looker/Looker Studio consumers) and Data Science
• Align with Product and Business stakeholders to translate needs into data contracts
• Work daily with a global squad (Brazil + France) in English

We’re looking for someone who brings

Experience :

• 2-3 years of experience in Data Engineering
• Knowledge of Medallion Architecture , and retail media environments

Skills :

• Experience with building curated data layers
• Strong knowledge of SQL, ELT pipelines design , and solid software engineering practices (Git, code review, documentation)
• Comfortable working with BigQuery (modeling, optimization, cost control) and dbt (core requirement)
• Professional proficiency in both French and English

Mindset :

• Curious, proactive and solution-oriented
• Eager to learn, take ownership and make an impact

What’s in it for you

• Work in a fast-paced , international , and innovative environment, at the intersection of data, retail, and media – one of the fastest-growing spaces in digital
• A dynamic, supportive environment with smart people and bold ambitions
• Office located in the heart of Paris
• A flexible remote work policy of 2 days/week
• 90% reimbursement of public transportation
• 10€/day Swile card for each working day, we’ll cover 60% of the cost
• Covered by the Advertising Industry Collective Agreement

Our Hiring Process

Our hiring process is designed to help us get to know each other and ensure a strong match between your experience, your ambitions, and our needs.

• A first conversation with our Talent Acquisition team (15 min)
• A short introductory call to discuss the role, understand your expectations, align on key elements such as scope, location, compensation, and answer your initial questions.
• A deep-dive interview with our Talent Acquisition team (1 hour)
• An in-depth conversation to explore your background, experience, motivations, and fit with the role. This is also an opportunity to dive deeper into the position, the team, and what you could bring to Unlimitail.
• Interviews with the hiring manager and key stakeholders (1 hour)
• A chance to meet the team, discuss the business challenges, and better understand how you could contribute to our success.
• Final discussions and offer
• The final step to align on expectations and move forward together.

Ready to make a big impact? Apply now and help shape the future of Retail Media with Unlimitail !

Unlimitail is committed to fostering a diverse workforce and strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background.

If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with the recruiter who contacts you.