Senior Analytics / Data Engineer

Hybrid Full TimeParis, Ile-de-France, FranceKlickkonzept

Role Overview

Join a data-oriented team in Python to cover the data value chain, from ingestion to the analytical layer. Design and industrialize data ingestion and transformation pipelines, model data in the data warehouse, and exploit cloud infrastructure.

What You Will Do

Design and industrialize data ingestion and transformation pipelines, model data in the data warehouse, and contribute to advanced platforms (marketing mix modeling, AI and agent-based use cases on data).

Why It Might Be a Fit

The ideal candidate has a minimum 2 years of experience in data engineering or analytics engineering, advanced SQL and Python skills, and experience with a data warehouse, ideally on Google Cloud.

Requirements

  • Minimum 2 years of experience in data engineering or analytics engineering
  • Advanced SQL and Python
  • Practiced in dbt or equivalent, Git, and CI/CD
  • Experience with a data warehouse, ideally on Google Cloud
  • Notions of orchestration, Docker, IAC
  • Interest in performance measurement and MMM (Marketing Mix Modeling) appreciated
  • Autonomy, customer service sense, ability to vulgarize
  • Fluent French; professional English

Tagged as: ,

To apply for this job please visit jobs.smartrecruiters.com.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

RevOps Careers Favicon

Get the latest RevOps jobs every Monday.

No noise. Just the best GTM roles, curated weekly.

We don’t spam! Read our privacy policy for more info.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!