Senior Data Engineer

Senior Data Engineer

Berlin, Permanent

Orange Quarter are working with an exciting start-up who are backed by global leaders in manufacturing and cloud. They have built a software-as-a-service platform that empowers  building owners to realise the full potential of their assets in the modern world. This start-up utilise a Common Data Model to democratise and standardise building data and apply AI and Machine Learning to extract valuable insights, thus increasing the value of properties and rending them more energy- and cost-efficient. Building owners can then access all data collected in one 360° building management tool which functions as the foundation for a digital ecosystem. 

 

Industry:

OQ-industries SaaS

What to expect:

Data lies at the heart of this company, and you will be a key player on their engineering team. Your main focus is to aggregate building data from multiple sources in the most reliable and scalable manner possible. You will assume responsibility for the quality, usability of all data. You can expect to design and improve the company’s data model and pipelines and to document data structures and content. 

 

Perks:

  • Work in a dynamic coworking environment in the very heart of Berlin
  • Enjoy a high level of autonomy and responsibility with the ability to heavily influence the future of the product
  • Flat hierarchies will afford you plenty of room for growth and development
  • Work on a cutting-edge product, backed by two global companies that are leaders in their fields
  • Competitive salary

Requirements:

  • You have completed a MSc, or PhD in a relevant field, such as Computer Science, Applied Mathematics, Physics, etc
  • You have experience working with big Data technologies, e.g. Spark, Airflow, Flink, Kafka
  • You are proficient programming in one of more of the following languages: Python, Scala, Java
  • You have hands-on experience of cloud technologies, and container/orchestration tools, such as Kubernetes and Docker
  • Solid knowledge of the Azure stack is highly desirable (Azure Data Lake, Data Factory, Databricks etc.)

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Poppy Ashmore