All roles with salary

Data Engineer

mirakllabs ParisEst. Est. EUR 50,000–65,000 / yearMid

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Python
  • Sql
  • Spark
  • Airflow
  • Aws
  • Kubernetes
  • Docker
  • Terraform
  • Ci/Cd
  • Machine Learning
About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success Data Engineer About Mirakl Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business. Since 2012, Mirakl has been pioneering the platform economy, empowering retail and B2B enterprises with the most advanced, secure, and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media. In July 2025, Mirakl launched Mirakl Nexus, the first neutral infrastructure designed for agentic commerce. Built on Mirakl's 13 years of expertise and innovation, and powered by an ecosystem of more than 100,000 sellers, Mirakl Nexus connects merchants and AI agents to automate product discovery, payments, and after-sales service. For more information: www.mirakl.com . This is a permanent position (CDI) based in Paris, with 4 days on-site per week. 1. The Team You'll Join You'll be part of our Data Experience squad led by Alexandre Blanchard , Data Engineering Manager within Mirakl's broader Data team of 70 specialists. Together, you'll be building and scaling the ML infrastructure that powers Mirakl's AI-driven products from real-time recommendation inference to LLM fine-tuning pipelines serving some of the world's most innovative e-commerce players. 2. Your Impact Design and implement a performant, robust, and scalable ML Platform architecture — covering training, evaluation, and inference — while keeping costs under control Maintain and improve ML production pipelines and real-time inference applications at scale (real-time recommendation inference, 1M+ LLM calls/week, async content moderation) Partner with Data Scientists from project kickoff through productionization — setting up best practices, guardrails, and CI/CD improvements in collaboration with the SRE team Drive technical excellence: manage technical debt, systematize version upgrade processes, and upskill team members on MLOps and Data Engi

See your match score for this role.

Xecodai maps the interview stages and shows what is preventing a 95% match.

Analyse this role