Senior Analytics Engineer

il y a 4 semaines


Paris, Île-de-France Fabulous Temps plein
About the Role

We are seeking a highly skilled Senior Analytics Engineer to join our data science team at Fabulous. As a key member of our team, you will be responsible for designing, developing, and maintaining our analytics pipelines and data models.

Our ideal candidate will have a strong background in data engineering, excellent SQL skills, and experience working with modern data stack tools and cloud-based data warehouses.

You will work closely with our data analysts and scientists to develop and implement data-driven solutions that drive business impact. Your expertise will be essential in helping us to improve our data quality, reduce technical debt, and enhance our analytics capabilities.

In this role, you will have the opportunity to work on a wide range of projects, from data modelling and analytics engineering to data science and machine learning. You will be expected to be highly autonomous and able to manage your own projects and stakeholders with minimal guidance.

We are a remote-first organization, and you will be expected to work independently and collaboratively with our team to achieve our goals.

If you are a motivated and experienced data engineer with a passion for analytics and data science, we encourage you to apply for this exciting opportunity.

Key Responsibilities
  • Design, develop, and maintain our analytics pipelines and data models
  • Work closely with data analysts and scientists to develop and implement data-driven solutions
  • Improve data quality, reduce technical debt, and enhance analytics capabilities
  • Manage own projects and stakeholders with minimal guidance
  • Collaborate with team to achieve goals
Requirements
  • University degree in engineering, computer science, or applied mathematics
  • Minimum 4 years of experience in data or analytics engineering
  • Excellent hands-on skills in data modelling
  • Excellent SQL skills (preferably with dbt experience)
  • Excellent engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows)
  • Previous experience working with modern data stack tools and cloud-based data warehouses
  • Sound business acumen to manage own projects and stakeholders
  • Self-starter with ability to work autonomously and own own projects
  • Excellent written and verbal communication skills (English)
  • Comfortable in a remote work environment
Good to Have
  • Prior experience with some of the tools we use in our data stack (Amplitude, dbt, BigQuery, Metabase)
  • Good analytical and statistical intuition
  • Hands-on data analysis skills
  • Prior experience managing modern dbt data pipelines
  • Prior experience in an agile start-up environment

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