About Edenred

Edenred is a leading digital platform for services and specific purpose payments, and the everyday companion for people at work, connecting more than 60 million users and more than 2 million partner merchants in 45 countries via 1 million corporate clients.

Edenred offers digital services for food (such as meal benefits), engagement (such as gift cards and engagement platforms), mobility (such as multi-energy solutions, including EV charging, maintenance, toll and parking) and corporate payments (such as virtual cards).

True to the Group's purpose, Enrich connections. For good., these solutions enhance users well-being and purchasing power. They improve companies attractiveness and efficiency, and vitalize the employment market and the local economy. They also foster access to healthier food, more environmentally friendly products and sustainable mobility.

Edenred's 12,000 employees are committed to making the world of work a connected ecosystem that is safer, more efficient and more responsible every day.

In 2024, thanks to its global technology assets, the Group managed close to €45 billion in business volume, primarily carried out via mobile applications, online platforms and cards.

Edenred is listed on the Euronext Paris stock exchange and included in the following indices: CAC 40, CAC 40 ESG, CAC Large 60, Euronext 100, Euronext Tech Leaders, FTSE4Good, DJSI Europe Index, DJSI World Index, and MSCI Europe.

THE UAE CONTEXT

Edenred UAE is a fast growing payroll service provider serving more than 15,000 business and more than 2.2 million unbanked employees. We service over 10 banks and 35 financial institutions. We offer a unique value proposition for companies to manage their payroll and for employees to receive their salaries and use it in the simplest way offering multiple value added services via our mobile app (money transfer, mobile recharge and card services).

The Role

We're looking for a Data Engineer Lead to architect, build, and scale the next generation of our data platform from the ground up. This role is ideal for someone who thrives in highimpact‑ environments, enjoys solving complex technical challenges, and wants to shape the long‑term data strategy of a fast‑growing business. You'll work closely with engineering, product, analytics, and business teams to design modern data foundations that enable reliable insights, advanced analytics, and innovation across the organization. This is a unique opportunity to own the full lifecycle of our data ecosystem and influence how data powers decision‑making at scale.

Responsibilities

Lead the end‑to‑end design, development, and scaling of a modern data platform on Azure and Databricks.
Build, optimize, and maintain robust data pipelines and architectures supporting analytics, reporting, and advanced data products.
Define and enforce best practices for data modeling, governance, quality, and security across all environments.
Partner with cross‑functional teams to understand business needs and translate them into scalable technical solutions.
Mentor and guide data engineers, fostering strong engineering standards, code quality, and operational excellence.
Oversee platform performance, reliability, and cost efficiency, proactively identifying areas for improvement.
Drive continuous innovation by evaluating new tools, technologies, and architectural approaches.

Your Profile

7+ years of experience in data engineering, including at least 3 years in a senior or lead role.
Proven experience designing and building a data platform from scratch in Azure and Databricks environments.
Deep expertise in Azure Data Lake Storage, Databricks, Unity Catalog, Delta Lake, and Azure Data Factory (Certified Data Engineer by Azure/Certified Data Engineer Databricks is a plus)
Strong proficiency in Python, PySpark, and SQL, with handson experience processing largescale datasets.
Solid understanding of data modeling, Medallion Architecture, and bestinclass data governance practices.
Experience leading technical teams, setting engineering standards, and mentoring others.
Bachelor's or Master's degree in Computer Science, Statistics,Mathematics, or a related field—or equivalent practical experience.
A collaborative, proactive problemsolver with strong communication skills and the ability to work effectively across diverse teams.