Contribute to the hiring and training of engineers within the managed team
Assure the collaboration of managed team across different engineering teams (inside and outside of the domain) and adherence to the defined global engineering best practices
Design and build scalable & reliable data pipelines (ETLs) for our data platform
Constantly evolve data models & schema design of our Data Warehouse to support self-service needs
Work cross functionally with various teams, creating solutions that deal with large volumes of data
Work with the team to set and maintain standards and development practices
Be a keen advocate of quality and continuous improvement.

You have experience as a professional with solid technical background building and maintaining data pipelines in a custom or commercial ETL tool (eg. SSIS, Talend, Informatica) (Airflow is a plus)
You have experience working in a Data Warehouse environment with varied forms of data infrastructure, including relational databases, Hadoop, and Column Store
Expert in creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics
Basic experience and knowledge of cloud environments (eg. AWS, GCP, Azure)
Expert in SQL
You are proficient in one of the following programming languages: C#, Java, Python
You have 2+ years experience working with a BI reporting tool (eg. Tableau, QlikView, PowerBI, Looker)
Proficient applier of continuous delivery principles: version control, unit and automated tests
You are fluent in English, both written and spoken
You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude.

Health insurance for the whole family, flexible working environment and well-being support and tools
Extra days off, sabbatical program and days for you to give back for the community
Training opportunities and free access to Udemy
Flexible benefits program

Data Engineer

Key skills