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Tech

Data Engineer

  • Type de contrat : CDI
  • Lieu : Paris, France (75011)

À propos

Why work at Yoopies?

We were founded in 2012 and recently raised 4M€ to build a more robust and senior organization. We did acquired findababysitter in the UK and want to continue our expansion across Europe. We are now established in 15 countries, helping people and companies to find well-being services. We also help professionals to find a job and provide a great experience to our consumers.

As there’s much to come like: launching new countries, extending our services to provide a 360 experience, launching a new B2B digital offer to revolutionize traditional-boring Employe Assistance Program, offering new care services; we continue to invest a lot in Technology.

We have multi-disciplinary jobs in our great Technology team: Data, Design, Product, Developers, QA and Dev-Ops giving us the capacity and authority to quickly experiment our ideas. We are Customer Centric and our Customer Success Team is also based in our HQ in Paris (next to Tech). This is helping us in providing a top-notch customer experience on daily basis. We know what is a feedback-loop :)

Finally we are an open-minded team of 60 with strong values, all going to the same direction. We work hard to make everyone feel comfortable, sharing ideas and trying out new things. We care about our Users and we care about our People.

Descriptif du poste

The leading Care Platform in Europe is looking for a data engineer. Yoopies.com, present in 14 countries, has over 3 million members and it’s reinventing the future of work for the home care services of childcare, housekeeping, tutoring, eldercare, and pet care. We are looking for a passionate data engineer to help us grow.

Missions:

  • You will maintain and improve an existing data stack composed of loosely coupled but complementary batch (Airflow, Redshift) and streaming solutions (Snowplow, Kinesis, Lambda).
  • You will ensure the quality and continuity of the flow of data from and towards high-end marketing and analytics tools.
  • You will implement technical solutions to practical problems in order to collect, move, transform, enrich and deliver data. You are often on the receiver end of data requests.
  • You will assist in building visualizations and running analysis on the data

Profil recherché

Skills:

  • You have strong Python and SQL skills and strive to implement best practices as well as proven design patterns
  • You can design, implement and maintain scalable and robust services, especially for data transfers and manipulations (both streaming and batch).
  • You cultivate deep and broad knowledge of data architecture technologies, from relational and non-relational databases to ETL frameworks and general tech stacks
  • You’ve had exposure to DAG orchestrators like Airflow, Dataform, dbt
  • You naturally document your code and projects, and can easily communicate your decisions with less technical stakeholders

Bonus:

  • You know your way around AWS tools and the Serverless framework
  • You have knowledge of devops practices (deployment automation & tools, dockerization, networking, security)
  • You have experience with data science projects, frameworks and libraries (pandas, scikit-learn, tensorflow, pytorch)
  • You speak french and english ;)

Behavior:

  • You are curious and willing to learn in every aspect of the job if not more
  • You understand that data engineering practices are enablers and you strive to provide practical, real-world solutions.
  • You cultivate versatility and are willing to work on various projects beyond the sole scope of data engineering
  • You are not afraid to leave your comfort zone and challenge yourself

Process de recrutement

To apply, please do not send a cover letter but answer the following 3 bullet points:

  1. A (very) short summary of your experience
  2. The reasons why you want to work in a (our) start-up
  3. Something original or interesting about you!

Informations complémentaires

  • Type de contrat : CDI
  • Lieu : Paris, France (75011)
  • Niveau d'études : Bac +2
  • Expérience : > 3 ans
  • Télétravail possible
  • Salaire : entre 40000€ et 52000€ / an