Data Engineer - lemlist

About lemlist

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 help design, build, and improve a scalable data platform that powers our product.

Your Main Mission

• Work collaboratively with product and business teams to build scalable and agile solutions.
• Define technical standards and take an active role in data platform architecture decisions and deployments based on strategic product roadmaps.
• Develop, deploy, and manage highly efficient data platforms and automated data pipelines using cloud-based and on-premise technologies.
• Design, maintain, and enhance key data product features to ensure they are high-quality, certified, and easily accessible across systems.
• Analyze and develop data operations and pipelines aligned with governance, quality processes, and catalog curation.
• Maintain and continuously adapt existing data pipelines by integrating new features and change requests using agile methods.
• Ensure data quality, lineage, versioning, and observability across the entire stack.
• Support CI/CD and release processes.

Key Results

Within 3 months:

• Successfully onboard and map our existing data platform end-to-end (sources, ingestion, warehouse models, orchestration, BI layer).
• Deliver a written audit of the current stack with a severity ranking and estimated costs for reliability, cloud spend, and engineering risk.
• Ship at least one high-visibility quick win (fix an unreliable pipeline, resolve a cost anomaly, or restore trust in a critical dataset).
• Turn the audit into an agreed technical roadmap with target architecture and validated migration paths.
• Improve data engineering standards across repo structure, Git workflows, CI/CD, environments, code reviews, and deployments.

Within 12 months:

• Scale the data platform alongside data volume and product growth while controlling costs per pipeline.
• Reduce incident volume and time-to-detect on critical datasets so teams trust data by default.
• Implement comprehensive data observability (freshness, volume, schema checks, alerting, and documented SLAs).
• Unlock new platform capabilities in product analytics, in-product data features, and ML/AI enablement.
• Serve as an architectural reference consulted by leadership on strategic data decisions.

Requirements

Must Have

• Master's degree in Computer Science, Distributed Systems, Data Engineering, or equivalent practical experience.
• 5+ years of experience with intensive data platforms in the context of Big Data and cloud infrastructure.
• Strong background in Big Data architecture, DBMS/Data Warehouse modeling, optimization, and management.
• Deep knowledge of SQL, Python, and Spark-related technologies.
• Experience with data warehouses and lakes (BigQuery, Snowflake, Databricks, Delta Lake, cloud storage).
• Extensive expertise in data preparation, integration, modeling, and governance processes.
• Proven track record of designing and managing production-ready data solutions.
• Solid experience building scalable ingestion and transformation pipelines, including streaming tools (Kafka, Pub/Sub).
• Familiarity with DataOps practices: Git, Docker, CI/CD pipelines (Jenkins), and modern deployment workflows.
• High ownership, fast execution speed, and strong problem-solving capabilities.
• Fluency in both French and English.

Nice to Have

• Hands-on experience with application databases (NoSQL, Search DBMS, OLAP DBMS).
• Prior experience in B2B SaaS.

Benefits & Perks

• Competitive salary and performance-based company bonus (up to €18,000 per year).
• 38 days of paid time off per year.
• Alan Blue: 100% covered premium medical coverage for you and your family.
• Swile daily meal vouchers.
• 100% reimbursed Navigo transportation pass.
• Hardware and gear: High-end laptop and equipment needed for your work.
• Annual company retreats at destinations worldwide.