Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery!
We are looking for Senior Data Engineers (f/m/d) to join our growing Location team! Our Location Platform makes the world’s addresses and places discoverable in hyper 3D accuracy. If you’re a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!
Your mission:
You analyse and process structured and unstructured data sources,
You develop end-to-end, scalable software and applications
Work with structured and semi-structured data from different heterogeneous data sources/sinks (BigQuery, PostgreSQL, PubSub, SQS, Redis, Elasticsearch …).
Build cloud-based data pipelines enabling innovative customer experiences
Develop and maintain ETL processing pipelines for batch and near-real-time data as well as analytical / machine learning workflows
Build and deploy REST API’s to serve machine learning models
Build solutions at scale and optimize for performance. Every millisecond counts.
Communicate with different teams regarding coding consistency and data availability
Proactively make suggestions on how the team can leverage new technologies and architectures to improve the performance of our data platform
Your heroic skills:
You are a python ninja with proven experience (3+ years)
Expertise with container technologies (Docker, Kubernetes) and CI pipelines (GitHub Actions, Jenkins).
Expert knowledge of SQL and experience working with large data sets and extensive knowledge in databases (PostgreSQL, BigQuery etc.).
Ability to design and maintain complex data pipelines and REST APIs.
You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment.
A proven track record in dealing with data ingestion/ ETL processes design and technologies.
Excellent written and verbal communication skills in English.
Able to empathize with stakeholders and understand the relationship between data and behaviors.
Curious and eager to learn and improve.
Nice to have:
Experience with performance optimization of databases and building multi threaded applications is a huge plus.
Experience working with logistics problems or/and temporal-spatial data is a huge plus.
Understanding machine learning pipelines and necessities of data science models.