Data Engineer

We are on a mission to transform the way people work together. There are so many frictions on both an individual and company level:

• Very few people are happy at work
• Companies have trouble attracting and retaining top talents

These two factors combined result in a big waste of potential for each side. Fulfilness at work should be the norm rather than exception. But there is hope. A new generation of makers aspires to reconcile work and life purpose: entrepreneurs and freelancers.

At comet, we firmly believe freelancing is a major component of the future of work. Our ambition is to empower both freelancers and companies through a frictionless collaborative experience.

In two years, we have built so far:
• An easy-to-use platform to help companies find the best freelancers within 48h;
• A in-house algorithm to match talents with projects they care about;
• A vibrant community of 4000+ tech and data experts.

In June 2018, we raised a 14 million Series A with seasoned investors (Daphni, Otium). It will help us grow our 60-strong team and scale our activity internationally.

We are now looking for outstanding doers and dreamers to help us achieve our vision and create a brighter future of work.

Why applying to comet now?
👋 Join a stellar team aligned with a strong culture and work ethics
💯 Have an impact from day one and grow your learning curve exponentially
🔥 Experience the hottest work trends such as remote work or squad models
🌴 Have fun during quarterly team events
🤓 Benefit from free coaching sessions and mentorship
🐈 Cuddle cute animals at the office (Lucky the cat and Lia the dog)

Our office is in the heart of Paris (St Ambroise - Richard Lenoir).

As a Data Engineer, you will ensure the Data Warehouse is 100% reliable & trustworthy. Your mission is to build and maintain a healthy environment to seed, grow and harvest data among the whole company.

Your Missions (if you accept it) :

• Turn the Data infrastructure into a unique source of truth, reliable and available to all :
  Identify the weaknesses and axes of improvement of the lake and warehouse and refactor consequently
  Implement and apply Data Warehousing technologies and methodologies
  Support data integrity and reliability

• Be a Warehouse technical referent :
  Stay aware of technological data innovations
  Develop critical thinking of the current and future data infrastructure at Comet
  Adopt a business mindset and set-up the warehouse accordingly (specific schemas)

• Ensure high-quality work by adopting a true developer methodology :
  DRY code
  Code versioning
  Code peer review
  Continuous testing

You have 2-3 years of experience as a Back-end / Data engineer.

Must Have :

• World class SQL
• Excel / GSheet
• Data Modelling and ETL Warehousing knowledge (Data Vault, Star schema etc)
• Version Control (Git) & code reviews

Nice to Have :

• DBT
• Python
• Google AppScript / Javascript
• Looker / LookML
• R

and of course .. :

• Team Spirit
• Details oriented
• Rigorous
• Strong communication skills and customer empathy, capable of pushing for the best solution with tact
• Critical thinking

• A first call to get to know each other
• 2 interviews (Manager, Founder)
• A case study/technical test
• 1 immersion to meet the team
• A job offer with a transparent salary grid