Senior Data Engineer (m/f/d)

Berlin

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

You want to be part of the next step in the evolution of FREE NOW into a global player in the ride-hailing industry and the establishment of FREE NOW’s role in the future of autonomous vehicle platforms?

Our Data Engineering teams are designing and building data pipelines to schedule and orchestrate a variety of tasks such as import, cleanse, transform, enrich, and export data as per the business needs. In order to improve our customer experience and deliver a great product, we serve the data insights at depth to various teams like data analysts, data science and business stakeholders to take strategic decisions, train DS models, perform health checks, etc.

Your role:

  • Build and maintain mature real-time/batch data pipelines that can consolidate and clean up usage analytics.
  • Work with multiple partner teams and build cross-functional solutions in a collaborative work environment.
  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Build high-performance APIs to access and query data from data warehouse.
  • Writes unit/integration tests, contributes to engineering wiki, and documents work.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Works closely with a team of backend engineers, product managers, and analysts.
  • Designs data integrations and data quality framework.

 

Your profile:

  • You have advanced knowledge of at least one programming language and are happy to learn more. Our core languages are Scala and Python.
  • You have knowledge of the AWS suite, such as AWS Lambda, AWS S3, AWS Cloud watch ...
  • Experience with Distributed systems such as Hadoop, Hive, Spark, Presto is helpful.
  • Strong understanding in SQL, Database. Experience in building data pipelines is a great plus. Love getting your hands dirty with the data implementing custom ETLs to craft it into information.
  • Enjoy working with stream processing frameworks like Spark structured streaming, Kafka streams.
  • You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by many customers, your attention to detail leads to a delightful user experience.
  • Fluent proficiency in Business English

 

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 matters 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 subsidised 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 own ideas, you’re welcome to set up initiatives and projects.

Need a lift? We offer Udemy e-learning platform, subsidised 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 the Mobility Super App with the largest vehicle choice for consumers across Europe. More than 54 million users in 16 markets and in over 170 cities today are already moving freely from A to B by accessing the largest selection of mobility options available in one app. Through the unique integration of mobility brands and payment services, they can book their nearest taxi, private hire vehicle, car sharing or micro-mobility option such as eScooters, eMopeds, and eBikes within the app. FREE NOW aggregates numerous mobility brands with the ambition to make urban mobility more efficient and sustainable without adding new vehicles on the street. The German based company is backed by the BMW Group and Mercedes-Benz Mobility. In total, around 1,850 employees in more than 27 offices work for the services of FREE NOW, which is led by CEO Marc Berg.

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

Tags: APIs AWS Data analysis Data pipelines Distributed Systems Engineering Hadoop Kafka Lambda Pipelines Python Scala Spark SQL Streaming

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

Region: Europe
Country: Germany
Job stats:  7  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.