The team you’ll join

The Data Engineering team owns, operates, and actively develops our data processing infrastructure to support various uses cases in the domains of product analytics, finance, marketing and engineering.

As Shapr3D becomes more complex with more platforms and features, we need to keep our systems scalable and help other teams get quick and actionable answers out of our data. This means developing and seeing through a technical roadmap, but also establishing a healthy data-driven mindset inside the company. Some of the things we’re currently working on or planning:

  • A data lake that enables data to be easily loaded and transformed by Data Scientists & Data Engineers

  • Scaling our real time event processing pipeline so that various kinds of events can come in from the app, web and other external data sources.

  • Scaling up our business intelligence tooling so that both technical and non-technical decision makers can access our data effectively

  • Improving data literacy within the company by helping stakeholders with queries, visualisations, and developing a common data dictionary for our datasets

We’re looking for great Data Engineers to help us develop and maintain the projects mentioned above and more! We’re two people currently, but we’re working closely with all kinds of folks within the company, so we’re not sitting in a bubble 🙂

You have

  • Experience with designing scalable data systems, while scouting and resolving tradeoffs and unknowns

  • Skills in data modelling, for both internal (within the team) and external (within the company) use

  • Good SQL foundations, as well as solid general programming knowledge (Python or Go is a plus)

  • Ability to work autonomously and own projects from planning to implementation

  • A natural curiosity, and a willingness to challenge and try different solutions

  • Experience in working effectively across different teams

  • Ability to design and implement metrics and occasionally dashboards

We offer

  • Competitive salary

  • Equity

  • Relocation support to Hungary

  • Unlimited coverage for professional any learning material / courses

  • A Macbook Pro + an iPad Pro with any extra accessories you need

  • 100% sick leave payment

  • A generous healthcare package with Medicover

  • A down-to-earth culture & the chance to disrupt the CAD industry together

In the first month, you’ll

  • Onboard to the team and our stack with the assistance of the entire team

  • Learn about the CAD domain and about our data processing platform

  • Ship small features & improvements to the data platform

In the first 3 months, you’ll

  • Get fully accustomed to our technical standards and processes

  • Support other teams solving their data processing problems

  • Add your unique point of view in engineering & culture discussions

  • Ship changes on a daily basis to the data platform

  • Help surface pain points in the team and assist in resolving them

In the first 6 months, you’ll

  • Design and deliver new big data processing systems and features with the assistance of the team

  • Help onboarding new team members to our projects

  • Review Product & Engineering design documents as well as Data Science research

Within a year, you’ll

  • Help our hiring process by reviewing homework assignments or leading interviews

  • Have improved on your data engineering experience and grown as a professional

  • Have received a lot of actionable feedback and are well on your way towards the senior level

If all this speaks to you and you’re up for reinventing 3D design for the 21st century, we should definitely talk! Be sure to check out our blogpost on how our hiring process works.

Don’t worry if you don’t tick every single box in the requirements, we’d still love to hear from you. We’re always looking to hire for potential and the right mindset.

Tagged as: AI, Analytics, C++, Data, Go, Python, R, Scala, SQL


Job Overview
We use cookies to improve your experience on our website. By browsing this website, you agree to our use of cookies.

Sign in

Sign Up

Forgotten Password

Receive the latest news

Subscribe To Our Weekly Newsletter

Get notified about the latest Data Science career insights!