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Engineers who find a new job through Java Works average a 15% increase in salary 🚀

Senior Data Engineer

Berlin, Germany

Salary

€68K - 88K

Contract type

Full time
Sponsorship offered

Technologies & frameworks

  • scala
  • java
  • python
  • spark
  • kafka
  • data
  • data engineering

Interested in seeing this company work? Contribute to their Open Source.

View All Issues

To sum it up...

Join the world's leading data-driven travel-ad platform as a Sr Data Engineer 🛫

Role overview

WHY JOIN US?:

As part of our team, you will work in a highly motivated environment, with equal opportunities, flat hierarchies and short decision-making processes. You’ll have a lot of freedom to contribute your own ideas and implement them 🤜🤛. 

  • The opportunity to drive business growth and truly having an impact on the business; 
  • A fast-paced industry where you handle new problems every day; 
  • An environment where you are encouraged to research, explore and try new ways of doing things; 
  • An open and dynamic culture that supports great work-life balance, while being part of one of the biggest travel companies in the world.

YOUR ROLE:

  • You'll be part of a team responsible for the design, development and maintenance of our data processing streaming pipelines in Google Cloud Dataflow developed using Spark
  • You'll work closely with the Data Scientists and Data Analysts, providing them with access to the data and support they need to analyse, train and deploy machine-learning models 👨‍💻👩‍💻
  • You'll own the full development and operations cycle of a product, whilst helping to ensure our systems are running correctly and efficiently 🔂
  • You'll use industry-proven tools such as git, and practices such as CI/CD in an agile setup;
  • You'll be joining a cross-functional team 🎉: Aside from data engineers, our teams have Go Engineers, Data Scientists, Data Analysts, DevOps Engineers, and Frontend Engineers.

REQUIREMENTS:

  • You love Scala 💓 – either as Scala Developer or a Python/Java Developer willing to self-learn a new language.
  • You have practical experience with one or more distributed data processing frameworks such as Spark, Apache Beam, Google Cloud Dataflow, Flink, Storm or similar.
  • You care deeply about software best practices and are dedicated to ensuring quality via testing, benchmarking and peer review.
  • You have experience of using a pub/sub or message queue technology such as Kafka.
  • You understand the theory behind different database technologies and data storage practices enough to make informed choices and match appropriate technologies to a given use-case ✔.

Location

Berlin is the capital and the largest city in Germany and well-known for its amazing festivals, exciting nightlife and a high quality of living. With a population of 3.7 million it is only second to London in the Europe Union, even with one-third of the city's area being composed of forests, parks, gardens, rivers, canals and lakes. Berlin is a city with a deep history, Bismarck, Marx, Einstein, JFK and Bowie, they’ve all shaped – and been shaped by – Berlin.

Often referred to as Europe's newest start-up capital, a new start-up is founded every 20 minutes. The startup industry is set to produce 100,000 new jobs by 2020.

It's no secret that Berlin is cheaper than many of its European counterparts. Office overheads and the price of living are cheaper, which makes it a very attractive place for tech entrepreneurs. Home to HelloFresh, Delivery Hero, and Soundcloud we expect many more household names to be coming out of Berlin in the next few years.

Did you know...

  • The average salary for a Software Engineer in Berlin is €58,765 per year
  • Berlin is the second most populous city in the EU
Engineers who find a new job through Java Works average a 15% increase in salary.

Salary

€68K - 88K

Contract type

Full time
Sponsorship offered

Technologies & frameworks

  • scala
  • java
  • python
  • spark
  • kafka
  • data
  • data engineering

Interested in seeing this company work? Contribute to their Open Source.

View All Issues

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