We are seeking a senior data engineer to join our data science team. We focus on understanding human behavior, the structure and dynamics of urban spaces, and how these two interact. All of these via large-scale datasets to provide cutting-edge location intelligence service to our customers. As a member of our currently growing team, your role will be to design, build, and maintain data acquisition pipelines and various spatial and relational databases, contribute to the foundations of our data warehouse and cloud-based systems, and collaborate with our data scientists to optimize our analytical processes.
What you will be a part of
- The development of a unique scalable product
- An international, expanding start-up
- The end-to-end process from data collection to business solutions
- A community that not just preaches but practices true interdisciplinarity – just check our bio!
Experienced in
- Collecting and handling large data-sets and loosely structured data, from APIs to web-scraping
- Geo-spatial (e.g. PostGres) and relational databases
- Fluent and comfortable in Python
- Cloud-based ETL pipelines, Azure Data/ML Studio
- Experience with Azure devOps and Microservices
- Knowledge on data warehouses (e.g. Redshift, Azure datalake)
- Enjoy creative challenges and desires to make an impact
Project period
- 4-6 months