Senior DataOps Engineer

Contentsquare is a digital experience analytics company dedicated to better customer understanding and making the digital world more human.
Data
Senior Software Engineer
Remote
1,000 - 5,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For Senior DataOps Engineer

Contentsquare, a global digital experience analytics company founded in France in 2012, is seeking a Senior DataOps Engineer to join their Enterprise Analytics (EA) team. The role involves strengthening and maintaining data infrastructure, improving development and CI/CD workflows, building reliable data pipelines, and contributing to the evolution of their Internal Data Platform. The ideal candidate will have 3+ years of DevOps experience, proficiency in Python and SQL, and knowledge of various data technologies. Contentsquare offers a dynamic work environment with a global presence, having raised $600M in Series F funding in 2022 and being recognized as a Great Place to Work in 5 countries in 2023. The company provides competitive benefits, including work flexibility, generous paid time-off, wellbeing allowances, and stock options for all full-time employees. Contentsquare is committed to diversity and equal opportunity employment.

Last updated 2 months ago

Responsibilities For Senior DataOps Engineer

  • Strengthen and maintain data infrastructure using DevOps best practices
  • Improve development and CI/CD workflows
  • Build, test, document, and deploy reliable data pipelines
  • Contribute to the evolution of the Internal Data Platform
  • Communicate and collaborate with a broad audience

Requirements For Senior DataOps Engineer

Python
Kubernetes
  • 3+ years DevOps experience with at least 2+ years in production with kubernetes
  • Proficiency in Python and SQL
  • Knowledge of Data Orchestration solutions (Airflow, Dagster …)
  • Cloud computing and Data Lake/Warehousing Management
  • ELTs ('Extract Load Transform') => EL tools & T tools (e.g. Fivetran, dbt)
  • Strong strategic thinking skills
  • Autonomy and excellent people and time management skills
  • Ability to think outside the box
  • Effective communication skills
  • Knowledge of multi-threading, concurrency, and parallel processing technologies
  • Professional English

Benefits For Senior DataOps Engineer

Equity
Parental Leave
  • Stock options
  • Flexible work arrangements
  • Generous paid time-off
  • Parental leave
  • Wellbeing allowance
  • Home office allowance
  • Regular team events

Interested in this job?

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