Data Engineer - Scala, Python or Java

Germany

Applications have closed

FREE NOW

FREENOW ist deine App für den Weg von A nach B. Ob Taxi, Mietwagen, E-Scooter, Carsharing, E-Roller oder E-Bike - alles in einer App.

View company page

Data Engineer - Scala, Python or Java (Kubernetes, AWS, Terraform, Airflow)

🚕 🚲 🛵 🚗 🛴

Location: Remote - Germany, Spain, UK, Ireland.  Relocation available for successful candidate if located outside of the EU, providing visa status is achievable.

The FREE NOW Data Platform team is looking for a new colleague ,who is excited about working on a modern data platform in an innovative mobility as a service company. The Data Platform Team operates remotely from across Germany and we welcome applications from candidates who are able to open to working remotely from Germany, UK, Ireland; and we actively encourage applicants who may require visa sponsorship.

The open data platform enables various teams across the company to ingest data of various scales, transform them into useful datasets and make them digestible through analytical tools. We are improving the data platform nonstop to deliver the best user experience possible. As a part of the Core Technology team of FREE NOW, you are operating inside the heart of our entire application and closely collaborate with backend developers and platform engineers.

Check out our Techstack - https://stackshare.io/companies/free-now#tech-stacks 

Check out our Github - https://github.com/freenowtech 

Find out more about us - https://www.glassdoor.co.uk/Overview/Working-at-FREE-NOW-EI_IE954578.11,19.htm 

What you will do:

  • Design, build and extend a large scale data platform that enables data engineers, -scientists and -analysts to deliver amazing data products
  • Automate everything! Make the data platform reliable and secure by following best practices such as the “Infrastructure as Code” principle
  • Support teams company-wide to make the most out of our platform through monitoring systems and know-how
  • Keep our data secure. Find and solve security concerns in our data systems

Your profile:

  • You are qualified with distributed systems (f.e. Kafka, Hadoop, Presto) and understand the underlying principles
  • You have programming experience in at least one modern programming language. (preferably Scala, Python or Java)
  • You feel comfortable with cloud environments like AWS or GCP
  • You have worked directly with technologies like Airflow, Terraform and Kubernetes
  • You are excited about writing clean code and understand the balance between ideal solutions and pragmatic approaches
  • You are reading about new trends and developments in the data world and are keen on evaluating new technologies
  • You might be experienced in developing a strategy for data architecture and data management strategy

The interview process will be in 4 stages and should be completed in less than 2 weeks:

1st - 30 mins Interview with one of our Talent Acquisition partners - this will be a get to meet you interview, sharing more details about you and discussing the role and FREE NOW in general

2nd – Tech Challenge. Take-home challenge and a chance for you to show us what makes you so good at what you do

3rd –  60 mins Challenge Review. The Engineering Manager will review your test challenge with you, looking at ways of improving it, challenging the decisions, giving you room to explain the rationale behind them. We are a non-egocentric organization; we expect to be challenged all the time.

4th – 90mins Meet the Team / Knowledge sharing.  A chance for you to meet your new colleagues and also for us to share what we do with you including giving you an insight into our projects, sharing some code with you and letting you get a glimpse of our world and what to expect when you join.

Outside of your salary, your benefits could include (if located in Germany, slightly different benefits apply to other countries):

  • Birthday off
  • Public transport subsidy of €20 p/month
  • €50 p/month credit for use with our mobility app
  • Subsidised Gym membership
  • Company pension plan with 50% subsidy up to a max of €120/month
  • Free Language Courses
  • €500 Personal Training Budget
  • Access to Udemy suite of online learning products
  • Quarterly Team Events
  • 27 vacation days plus 24th and 31st December are company holidays

We would expect the following from you in your first 30 – 90 days:

30-60 days - Contribute

  • Understand what is needed to achieve our Objectives (individually, squad and tribe)
  • Start participating in technical discussions, suggest improvements when possible
  • Take ownership of a reasonably complex task
  • Continue asking for help
  • Share feedback

60-90 days - Perform

  • Acquire full autonomy, become independent (never forgetting collaboration)
  • Live by our Operating Principles
  • Perform!

And never stop asking for help!

Diversity and inclusion:

At FREE NOW, we commit to being an equal opportunity employer. We consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability, or age. We celebrate diversity and have a clear vision: to be the place where a diverse mix of talented people want to come, stay and do their best work. Together with passionate, creative, and collaborative colleagues, we are following our purpose of making mobility available for everyone.

Move like you

At FREE NOW, we have colleagues from over 70 nations! We value open communication and welcome everyone as they are. We are all one team and follow the same goals – that’s why we share our insights and results to get on track together every month.

Your wellness and work-life balance matter to us. We offer trust-based and flexible working hours as well as the option to work from home. In the office, you can enjoy our free drinks and daily fresh fruit. Do you like to be active? Take part in our subsidized gym membership. Bigger plans? Take a sabbatical leave and get out there!

Let’s grow together! We believe in a transparent career growth plan, quarterly development sessions with your team lead as well as regular 1:1s to help you thrive! For your ideas, you’re welcome to set up initiatives and projects.

Need a lift? We offer Udemy e-learning platform, subsidized language classes, internal peer-to-peer trainings, and more to support your learning & development opportunities.

More Benefits? Monthly mobility budget for FREE NOW rides, quarterly team events, company-wide onboarding days at our HQ in Hamburg, relocation assistance for internationals, birthday-off, kudos, and many more!

About FREE NOW:

FREE NOW is Europe’s leading multi-mobility platform backed by BMW Group and Daimler AG. Next to ride-hailing, FREE NOW also offers micro-mobility services such as e-scooters, e-bikes, e-vespas as well as car sharing. It consists of the services FREE NOW (10 European markets) and Βeat (5 Latin American and 1 European market). Summed up, those services currently attract 50 million users in 16 markets and more than 150 cities. FREE NOW is, therefore, the biggest multi-service mobility provider in Europe and the fastest-growing ride-hailer in Latin America. FREE NOW works with various third-party providers to offer their customers an even wider range of options to get from A to B. In total, around 1,900 employees in around 35 offices work for the services of FREE NOW, which is led by CEO Thomas Zimmermann..

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Architecture AWS Data management Distributed Systems Engineering GCP GitHub Hadoop Kafka Kubernetes Python Scala Security Terraform

Perks/benefits: Career development Equity Fitness / gym Flex hours Flex vacation Home office stipend Relocation support Snacks / Drinks Team events Wellness

Region: Europe
Country: Germany
Job stats:  5  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.