Analytics Engineer


Paris, FR
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/04/2021
  • Website:
  • Company Address:

About Swile

Porvider of a meal ordering platform intended to reinvent the experience of lunch breaks with colleagues. The company's platform offers dematerialized card and a group order functionality in addition to traditional tickets, enabling users to pre-order restaurant meals and make full utilization of the lunch breaks.

Job Description

À propos

Swile, c’est l’app qui place la cohésion d’équipe au coeur de l’entreprise du 21ème siècle !

Swile diffuse la culture du partage et réenchante les moments de vie entre collègues, du matin jusqu’au soir !

Vivez enfin une expérience employé mémorable : création de cagnottes pour l’anniversaire de vos collègues, remboursement facile et partage d’addition pour vos afterworks, organisation d’une session running en équipe, messagerie interne pour faciliter vos échanges et célébrer vos succès collectifs, paiement en titres-resto et carte cadeau grâce à leur smartcard… l’app Swile rassemble autour de la convivialité, pour créer un environnement de travail plus collaboratif et plus durable ! #techforgood

Ils existent depuis fin 2016, et comptent désormais 400 Swilers présents à Montpellier, leur fief, mais aussi à Paris et dans de nombreuses villes françaises en télétravail… Ce sont aujourd’hui plus de 400k heureux salariés qui utilisent leurs solutions en France et maintenant au Brésil, et ils comptent continuer à conquérir les coeurs à l’international . 🌎

Swile est soutenue à hauteur de 115 millions d’euros levés auprès d’investisseurs tels qu’Index Ventures, Idinvest, Bpifrance, Daphni, Kima… et fait partie du FrenchTech120 🦄

Descriptif du poste

The mission of the data team at Swile is to monetize data assets. We do this by enabling better decision making, improving operations and efficiencies, measurably reduce risk, building data products, and more.

Analytics Engineers are the bridge between Data Engineers and Data Analysts, they help us achieve our mission by:

  • Building and maintaining a clean and reliable data model to empower end users to answer their own questions
  • Managing our internal BI solution for internal decision-making and building critical dashboards
  • Maintaining data documentation and definitions
  • Applying software engineering best practices to analytics code (e.g. version control, testing, …)
  • Owning client-facing analytics features in our product

At Swile we have invested in a modern data stack (Redshift, Stitch, Airflow, Looker, Metabase) to support us in our mission. And we are always ready to embrace new technologies that can help us do that better.

Here’s the Data stack in place today:

  • Extraction/Load: Stitch
  • Storage: AWS S3 / Redshift
  • Transformation: DBT
  • BI: Looker, Metabase
  • Collaboration: Github

Profil recherché

Your missions ….🔥

  • Maintain the Data Model in our Data-warehouse 
  • Create and maintain datamarts to be exploited by Data Analysts and Data Scientists (we use dbt)
  • Ensures data comes from the right sources, is correctly cleaned and aggregated.
  • Builds dashboards for all teams
  • Creates and keeps documentation updated.
  • Manage Embedded Dashboards (Data as a Feature)

Our ideal candidate has/is….😍

  • Expert in SQL
  • Great knowledge Python
  • Strong experience Git
  • ETL (any one such as Fivetran, Stitch, …)
  • Data architecture experience
  • Data viz tool (any one - such as Looker, Tableau, Metabase,…)
  • Project Management skills


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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.