Data Engineer

To Do What:

• Architect and maintain data warehouse;
• Create and maintain ETL/ELT data pipeline that ingests data from multiple sources with different technologies (MySQL, BigQuery, Mongo, Cloud Storage, CSV, etc.);
• Create and maintain self-service analytics service that enable anyone in the company to explore metrics and create reports (eg: clinical trials, invoicing, bonus, etc.);
• Work closely with our Algorithms and AI teams, supporting their needs of data and pipelines.

Our Ideal Candidate has:

• Strong knowledge of SQL and NoSQL Databases, such as MySQL, PostgreSQL, BigQuery, MongoDB, etc;
• Experience of development with languages such as Java, Scala, Python, Shell Script;
• Experience in cloud-based architectures, such GCP and AWS.

Bonus Points if you have:

• Knowledge of Data Governance;
• Experience with orchestration tools, namely Airflow;
• Experience with DBT (Data-Build Tool);Experience with the Kafka ecosystem (Kafka, Kafka Connect, ksqlDB);
• Experience with industry leader BI & visualization tools such Looker, PowerBI, Tableau, etc.

To ensure you feel good solving a big Human problem, we offer:

• The opportunity to make a real human impact of millions of people, and have a blast doing it;
• A bright future at a promising high-tech startup company where you can add real value to an innovative solution;
• A stimulating, fast-paced environment with lots of room for creativity; 
• Career development and growth, with a competitive salary;
• The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
• A stimulating environment with room for creativity - fast-paced, fun, and energetic startup;
• A flexible environment where you can control your hours (remotely) with unlimited vacation; 
• Access to our health and well-being program (digital therapist sessions);
• Remote or hybrid policy for candidates based in Portugal.