Senior Data Engineer: Scale Data Platform & Observability

lemlist; France; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Competitive salary & bonus (up to 18K€

38 days holidays/year

Alan Blue medical coverage

Swile Meal Tickets

Navigo card

Laptop and equipment

Annual team trips

Résumé du poste

lemlist, a profitable SaaS company, is seeking a Data Engineer to design, build and improve a scalable data platform delivering data solutions to the product team. You will define standards, manage pipelines, ensure data quality and observability, and collaborate with C-suite on data-driven decisions.

Ideal candidates have 5+ years in data platforms, strong SQL/Python/Spark skills, and experience with data warehouses/lakes (BigQuery, Snowflake, Databricks). Fluent in French and English.

Qualifications

• Master's degree in computer science, distributed systems, data engineering or equivalent.
• 5+ years experience in intensive data platform in the context of Big Data and cloud infrastructures.
• 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.
• 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, with the ability to solve complex data challenges and continuously improve data solutions.
• Fast learner, High ownership, structure, and execution speed.
• Fluent in French and English.

Responsabilités

• 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

Connaissances

5+ years experience

Big Data

SQL

Python

Spark

Data governance

Data quality

Observability

Analytics mindset

Ownership & speed

French & English

Formation

Master's degree in computer science, distributed systems, data engineering or equivalent

Outils

BigQuery

Snowflake

Databricks

Storage

Delta Lake

Git

Docker

CI/CD (Jenkins)

Description du poste

lemlist, a profitable SaaS company, is seeking a Data Engineer to design, build and improve a scalable data platform delivering data solutions to the product team. You will define standards, manage pipelines, ensure data quality and observability, and collaborate with C-suite on data-driven decisions.

Ideal candidates have 5+ years in data platforms, strong SQL/Python/Spark skills, and experience with data warehouses/lakes (BigQuery, Snowflake, Databricks). Fluent in French and English.