Salary Competitive

Do you want to join a fast-paced startup and work on the bleeding edge of recommendation systems, where your work immediately impacts the user experience for millions of users? We are looking for a Data Engineer who thrives in a fast-moving environment.


What you will be building:

Recommendation systems that are guaranteed to always show relevant recommendations for any scenario and that are easy to maintain, deploy and improve.


We need someone who we can count on to:

🙋 Own: Data pipelines that are easy to work with as well as creating and improving tooling to deploy, introspect and monitor our recommendation systems to constantly make them better. 

💻 Teach: What data should we collect and when? Tradeoffs between iteration speed and complexity of data platform architecture. How to maintain data warehouse structure and schemas that are easy to work with.

🎒 Learn: Our deployment workflows, specifics for tracking with third-party javascript, data science best practices.

🚴 Improve: How we operate our data pipelines, iteration speed, and robustness of our entire system, to delight the end-users of our product.


Desired skills and qualities

  • GCP data engineering stack (including BigQuery, Airflow, PubSub, Cloudfunctions, Dataflow, Kubernetes)

  • Being able to set up (managed) infrastructure that runs data pipeline jobs

  • Experience working in mature data engineering codebases

  • Basic data science knowledge, being able to debug issues by performing simple analysis on log data


💎We expect you to:

  • Own data pipelines that ingest our events reliably into tables that are easy to work with

  • Own monitoring and alerting around the data-pipelines

  • Design and maintain data warehouse structure/schemas that make it easy for the rest of the team to work with

  • Identify and communicate shortcomings in how we currently operate our data pipelines and push for improvements

  • Educate the rest of the tech team on how they bring our tracking to the next level.

Perks and benefits

This job comes with several perks and benefits

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

Flexible working hours
Flexible working hours

Time is precious. Make it count. Morning person or night owl, this job is for you.

Social gatherings
Social gatherings

Social gatherings and games; hang out with your colleagues.

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Equity package
Equity package

Want to be a partner? Look no further.

Free friday beers
Free friday beers

Friday is something special, let's enjoy a beer together.

See all 11 benefits

Working at
Depict.ai

Depict.ai is building AI-driven product recommendations. Increasing revenue for your store We use neural networks, computer vision and natural language processing to understand your products. This way we can start making high-quality recommendations immediately. Why do our recommendations work so well? Most recommendation systems use past transactions as their main source of data. We know better. Our system mimics the way humans understand products so that we can start showing relevant recommendations in your e-commerce store from day one.

Read more about Depict.ai

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