Ref: a0M1i00000QSd88EAD

Senior Data Engineer (w/d/m)

Germany, Berlin

Job description

Senior Data Engineer (w/d/m)


Senior Data Engineer (w/d/m)

My customer is a well-known company in the travel industry that operates in 30+ different countries.
  • Location: Berlin, Germany
  • Team meeting once per week or every two weeks, apart from team meetings remote work possible
  • Possibility to work remotely from the EU for up to 3 months and 20 days from all over the world
  • 28 days of annual leave per year, 30 days after 2 years
  • Full Time Position
  • German speaking skill are not required for this position

Your tasks as a Senior Data Engineer
  • You build data heavy distributed systems and work with a multi-functional team
  • You take PoC products to scale and implement solutions
  • You and your team define and architect the best data solutions for a better product quality and scalability
  • This position would be in the operations domain which is focusing on customer support and infrastructure / post booking experience
  • You will join a newly formed team of 4 (1 Product owner and 3 Software Engineers). The company utilizes machine learning techniques and hardware systems to enhance automation, tracking of their vehicles and improve customer experience.

Your Profile
  • Experience in software development and as a data engineer
  • Experience in high-performance data pipelines and event / data streaming using Kafka
  • Experience in Scala, ecosystems, managing databases, SQL, Redis data storage, real-time data sets
  • Strong communication and leadership skills, strong analytical mindset

That experience would make you the "perfect" candidate
  • Java or Python backend development
  • Cloud Platforms AWS / Azure / GCP
  • Infrastructure / DevOps experience
  • Familiarity with CI/CD and infrastructure as Code (Terraform)
  • Experience with Docker / Kubernetes
  • Experience with Hardware systems

About the company
  • Massive tech with a huge scale of projects, the company uses cloud technology and works with big data
  • The e-commerce department is constantly analysing data
  • An own app and GPS live tracking
  • Automated punctuality management, smart grid planning and dynamic price management which allows to offer the cheapest possible price to the customers
  • Currently the company run the first tests on automation of our price management
  • Operates in 30 European countries as well as in the USA and South America
  • 3000+ employees at over 20 locations

Tech Structure
  • 275 techis
  • 30 teams
  • Main tech is located in Munich and Berlin
  • 2 smaller teams abroad
  • 8 different domains and teams: E-commerce, Operations, Foundation, Infrastructure, Revenue and Pricing, and some smaller domains
  • Each Domain is structured like an own company and consists of autonomous teams
  • Team set up: PO / Frontend / Backend / QA / Data engineer or scientist / UX
  • Devs, own development process end to end
  • Everything is in the teams, even deployment
  • You build it you run it you own it
  • Structure of reporting is flat
  • Decision making happens in the teams but they are supported from the management

Please do not hesitate to contact me for further information: +49 (0) 69 58996 5151, Helena Bauer

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