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Data Engineerlemlist · France
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lemlist

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Data Engineer

🗓️ Posted 2026-09-15 France Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 3,500 EUR–5,500 EUR/mo

About the Company

lemlist is the sales engagement platform that gives sales teams the unfair advantage they deserve. Bootstrapped since day one, we've grown from 0 to 57M ARR in 8 years, without raising a single dollar. Today, we're a profitable B2B SaaS company, trusted by 40,000+ sales teams worldwide to book more meetings and close more deals. We're looking for a Data engineer to join our team. You will help design, build and improve scalable data platform to provide data solution to our product. YOUR MAIN MISSION WILL BE: - Work collaboratively with the product and business teams to build scalable and agile solutions. - Define our technical standards and take an active part in the structuring data platform architecture decisions and data platform deployment based on data strategic product roadmap - Develop, deploy, and manage highly efficient data platform and automated data pipelines using cloud-based and on-premise technologies. - Design, maintain, and enhance key data product feature to ensure they are high-quality, certified, and easily accessible/integrable by enterprise users, components, and systems. - Analyze and develop data operations and pipelines in line with enterprise guidelines and best practices (e.g., data quality processes, governance, and deep catalog/glossary curation). - Continuously adapt to evolving requirements by maintaining and improving existing data pipelines integrating new features and change requests using an agile approach. - Ensure data q

Requirements

  • ● Master's degree in computer science, distributed systems, data engineering, engineering or equivalent.
  • ● + years experience in intensive data platform in the context of Big Data and cloud infrastructures / platforms
  • ● Strong background in Big Data architecture approaches and DBMS/Data Warehouse modelling, optimisation, and management.
  • ● Deep knowledge of SQL, Python and Spark-related programming languages is a must.
  • ● Extensive expertise in data preparation, integration, modelling, and governance processes.
  • ● Proven experience in designing and managing end-to-end production ready solutions.
  • ● Solid experience in developing, optimising and maintaining scalable data ingestion and transformation pipelines using modern data technologies - including streaming tools (Pub/Sub, Kafka).
  • ● Familiarity with DataOps know-how: Git, Docker, CI/CD practices (Jenkins) and deployment workflows in a data engineering environment
  • ● Strong analytical mindset, with the ability to solve complex data challenges and continuously improve data solutions.
  • ● Fast learner, High ownership, structure, and execution speed. Demonstrated ability to thrive in a demanding, fast-growing environment.
  • ● Fluent in French and English.
  • ● Nice to have:
  • ● Hands on experience on applicative database such as NoSQL DBMS, Search DBMS, OLAP DBMS
  • ● You have a first experience in B2B SaaS
  • ● Competitive salary and company bonus (up to 18K per year depending on company's performance)
  • ● days of holidays/year
  • ● Alan Blue: Comprehensive 100% premium medical coverage for you and your family
  • ● Swile Meal Tickets: Enjoy daily meal tickets to fuel productivity
  • ● Navigo Card: Seamless commuting with a 100% covered Navigo card
  • ● Gear: Get the laptop, tools, and equipment you need for your job