Data Engineer

lemlist · Remote · France ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote
  • French & English required
  • Python, SQL, Spark
  • BigQuery, Snowflake
  • Senior level

Join lemlist, a profitable B2B SaaS company, to build robust data solutions that support sales engagement products. You will define technical standards, manage automated pipelines, and enhance data accessibility for enterprise users. The team values speed, impact, and direct collaboration with leadership.

What you'll do

  • Design and deploy scalable data platforms and automated pipelines
  • Define technical standards and architecture decisions for data strategy
  • Ensure data quality, lineage, versioning, and observability across the stack
  • Collaborate with product teams to build agile data solutions
  • Support CI/CD processes and improve data engineering standards
  • Conduct audits of existing stacks and propose technical roadmaps
  • Implement monitoring and alerting for critical datasets

What you'll need

  • Master's degree in Computer Science or related field
  • 5+ years of experience in Big Data and cloud infrastructures
  • Strong proficiency in SQL, Python, and Spark
  • Experience with data warehouses like BigQuery, Snowflake, or Databricks
  • Expertise in data preparation, modeling, and governance
  • Familiarity with DataOps tools such as Git, Docker, and Jenkins
  • Fluent in both French and English

Nice to have

  • Experience with NoSQL, Search, or OLAP databases
  • Background in B2B SaaS environments

Stack

  • Python
  • SQL
  • Spark
  • BigQuery
  • Snowflake
  • Databricks
  • Kafka
  • Pub/Sub
  • Docker
  • Jenkins

How you'll work

  • Fully remote position
  • Fluency in French and English required

What you get

  • Competitive salary with performance bonus up to 18k EUR
  • 38 days of annual holidays
  • Comprehensive medical coverage for employee and family
  • Daily meal tickets provided
  • 100% covered commuting card
  • Annual international team building event

Hiring process

  • CV screen and interview with recruiter
  • Interview with Lead Data Engineer
  • Live technical interview
  • Interview with CTO
  • Reference check and offer
  • Final interview with CEO