360Learning

Data Engineer

360Learning

full-time

Posted on:

Origin:  • 🇫🇷 France

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Job Level

JuniorMid-Level

Tech Stack

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

  • Build and run the data platform powering product features and company insights
  • Process billions of events monthly and manage 30TB+ data and 200+ data pipelines
  • Work side by side with Senior Data Engineer and Senior Data Analyst to scale platform and deliver accurate, reliable, and well-structured data
  • Contribute to embedding AI into teams and products
  • Own and optimize ETL pipelines end-to-end (design, build, monitor)
  • Optimize SQL/dbt models or ETL pipelines for performance and cost
  • Collaborate with Analysts and Product squads to deliver datasets and reliable pipelines
  • Improve observability (logging, alerting, monitoring) in the data stack
  • Design and implement a real-time pipeline to serve the Product
  • Drive initiatives around data reliability, scalability, cost optimization
  • Help define the Data Engineering roadmap and lead design of new components

Requirements

  • 2+ years of experience in a Data Engineering or in a similar role
  • Experience with cloud providers (AWS, Azure, GCP)
  • Proficient in SQL/Python, experience with an orchestration tool (e.g. Airflow) and a data warehouse (Snowflake, BigQuery, Redshift)
  • Strong understanding of data modelling, warehousing principles, and performance optimization techniques
  • Ability to break down ambiguous problems into concrete, manageable components
  • Experience managing different types of interlocutors while exposing technical & business problems
  • Listening skills: open to input from other team members and departments
  • Fluent English (US/UK) / B2 level or equivalent (FR)
  • Enthusiasm for working environment (link)