Senior Data Engineer

Berlin

Tech & Product

full-time

About numa

numa is creating a new generation of hospitality by developing technology that revolutionizes and automates every single element of traditional hotel operations.
With this proprietary tech, we’ve achieved innovations that truly set us apart:
  • Completely self-managed hotel operations, run without the need for on-site staff
  • A first-class digital guest experience with modern user interfaces
  • Prices and revenue managed by current, reliable data science
  • Enhanced on-site experience with IoT device integration
We’ve used this technology to establish and operate a new category of lifestyle apartments that are perfect for any journey, whether you need a weekend getaway, a remote-working change of scenery or temporary home in a new city. Located in Europe’s most vibrant and exciting neighborhoods and cities, our unashamedly original apartments emphasize consistent quality and local heritage—while keeping an eye on our planet’s future.
In addition to running our own apartments, we help other hotel operators improve their businesses and plan for the future by implementing the numa technology suite.
Our full-stack solution is based on modern, serverless architecture. Powered by AWS (Lambda, SQS, SNS, DynamoDb, etc.) and utilizing NodeJs, Typescript, NestJs and React, it’s a robust, reliable software that’s turning heads— and continuously evolving.

Your mission

  • Designing, developing, monitoring, and operating data integration pipelines processing hundreds of millions of records to provide high-quality datasets for analytical and machine learning use-cases.
  • Leveraging and improving our cloud-based (AWS) tech stack
  • Identify data gaps and new relevant data sources for our business to gain massive insights via BI and data science
  • Consulting with analysts and product managers to build and continuously improve "Single Source of Truth" data products that create value
  • Be a sparring partner to other team members and provide support and guidance to other engineers to help develop their technical capabilities.

Your profile

  • Experience in building data warehouses, data lakes and data pipelines
  • At least 2-3 years of relevant professional experience
  • Fluent SQL
  • Very good command in Python
  • Experience with modern databases, ideally PostgreSQL and dynamodb
  • Experience with AWS services like S3, Athena or Lambda

Why us?

  • Rapidly growing startup with huge potential for personal & career growth
  • Build solutions from scratch that have a real impact on the business from day one
  • Clear career path and the possibility to grow
  • Competitive compensation
  • High responsibility & impact from the very beginning
  • Close collaboration with CTO & Head of engineering
  • Your opinion and your contribution are very important to us and you have the chance to change an entire industry for the better
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Germany

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