Data Engineer

Natural Cycles is an international working environment filled with smart and ambitious colleagues working in Stockholm, Geneva, New York and remotely. Our mission is to pioneer women’s health with research and passion - by empowering everyone with a menstrual cycle with the knowledge they need to be in charge of their health.

As a Data Engineer you will maintain and lead the data initiatives at the company, by providing validated data and the infrastructure to calculate key performance indicators to different stakeholders while still safeguarding our users' privacy and anonymity into your work.

What you'll be doing:

- Maintain and improve our data warehouse: improve data models, performance of views and reports, etc.

- Maintain and improve our data pipelines: integrate new sources, improve monitoring and performance, etc

- Monitor, investigate and report data quality issues and data inconsistencies

- Collaborate with stakeholders and other departments by providing dashboards and reports

- Collaborate with data scientists by providing adequate raw data for their needs

- Evaluate data tools and vendors and propose adequate solutions for our problems

- Automate routine operations related to data

- Evaluation of incoming requests for change (before planning or executing on them). Such evaluation shall include:

- Is the requested change the best way to achieve the expected outcome (otherwise propose a better solution)

- Understand effort/value reasoning and push back when effort becomes disproportionately large in comparison with benefits

- Is the solution maintainable over time?

- Is the change compliant with our data privacy policies?

Every employee at Natural Cycles shall contribute to maintain and improve the quality system in order to comply with all applicable regulations and standards, especially with ISO 13485.

What skills and experience we think you have:

- Strong understanding of data infrastructure and deployment pipeline.

- Good knowledge and experience of analyst tools such as Tableau, Mixpanel or similar

- Great analytical skills to conduct root cause analysis and similar investigations

- Collaborate with R&D teams as well as stakeholders from other teams, such as medical product and regulatory

Data (essential)

- Experience with ETL and data pipelines (written in Python)

- Experience with cloud based data warehouses (we currently use Snowflake)

- Interest in Business Intelligence reporting tools (we currently use Tableau)

- SQL (data definition, data manipulation, analytical functions)

- Python

- Backend (desirable)

- RESTful API

- Working with relational or schema-less (NoSQL) databases

- Docker

Some of the technologies we currently use:

- Snowflake, Tableau

- Mixpanel, Google Analytics, Adjust

- ELK, Grafana

- Google Datastore, Google Cloud Storage, Google AppEngine & Kubernetes

- Github actions