Data Engineer

RemoteFull-timePosted 1mo ago

About the role

Data engineer to design, build and improve a scalable data platform and data pipelines to support the product and enterprise users at lemlist.

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 quality, lineage, versioning, and observability across the whole stack.
Support CI/CD and release processes

Master’s degree in computer science, distributed systems, data engineering, engineering or equivalent.
5+ 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.
Experience with data warehouses and lakes (BigQuery, Snowflake, Databricks, Storage, Delta lake…).
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
Experience in ensuring data quality, consistency and performance across data platforms, while applying data governance principles.
Strong analytical mindset and ability to solve complex data challenges.
Fast learner, high ownership, structure, and execution speed.
Fluent in French and English.

Required:SQLPythonSparkData warehouses / lakesData governanceCI/CD for data

Competitive salary and company bonus (up to 18K€ per year depending on company’s performance)
38 days of holidays/year
Alan Blue: Comprehensive 100% premium medical coverage for you and your family
Swile Meal Tickets
Navigo Card for 100% covered commuting
Gear (laptop, tools, and equipment)
Annual team building trips to cool places around the world

Last updated Sep 16, 2026. Interested? Apply on the company site.

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