Location: We are flexible! Come and join us either in Hamburg or Berlin*
At FREE NOW we are at an exciting point in our history - we are building a world-class product that is being used daily by more than a million people. We are a part of one of the most dynamic spaces for innovation in today's world: shaping mobility. Our daily business is solving large-scale, complex problems – and we love it!
Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate data professionals who strive for excellence and like to have fun. Are you ready for your next ride?
YOUR DAILY ADVENTURES WILL INCLUDE:
Are you passionate about data engineering and ready to revolutionize how data is managed and utilized within an organization? We are looking for a skilled and innovative Data Engineer to join our dynamic team and help us implement a cutting-edge Data Mesh architecture.
At FREE NOW we believe in data driven decisions that drive our business forward. We are currently transitioning into a data mesh architecture to establish a very close collaboration between data engineers, data analysts, data scientists and machine learning engineers.
In more detail this means you…
- Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to understand data requirements and design optimal data solutions in the Data Mesh environment.
- Develop, implement, and maintain scalable data products that enable the seamless flow of data from various sources to the Data Mesh architecture.
- Create and manage data models that cater to the specific needs of data consumers while adhering to data governance and security standards.
- Design and build data quality monitoring frameworks to ensure data accuracy, consistency, and reliability.
- Stay updated with the latest industry trends and best practices in Data Engineering and Data Mesh to continuously improve data pipelines and processes.
- Build high-performance APIs to access and query data from data warehouse.
- Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
To be successful in this role...
- You have advanced knowledge of at least one programming language and are happy to learn more. Our core languages are Scala and Python.
- Strong understanding in SQL, Database. Experience in building data pipelines is a core requirement. Love getting your hands dirty with the data implementing custom ETLs to craft it into information
- You have knowledge of distributed system, Lambda, AWS S3, AWS Cloud watch ...
- Experience with AWS, Hive, Spark, Trino, Databricks is helpful.
- 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
BENEFITS & PERKS IN A NUTSHELL:
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Plus more local benefits depending on your work location! |
* or in one of the countries where we have a legal entity in!
DIVERSITY, EQUITY & INCLUSION:
FREENOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work.
ABOUT FREENOW:
FREENOW 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. FREENOW aggregates numerous mobility brands with the ambition to make urban mobility more efficient and sustainable without adding new vehicles on the street.
