Data EngineerHertility Health

Hertility is a women’s health company built by women, for women. We’re shaping the future of reproductive healthcare by pioneering unique diagnostic testing that provides data-driven and advanced insights into reproductive health, fertility decline and the onset of menopause. We provide expert advice, education and access to care - all from the comfort of your home.

31% of women will suffer from a reproductive health issue at some point and through our research, we aim to reduce the time to diagnosis through advanced at-home testing and specialist gynaecological care. We tailor pathways to the individual's reproductive goals, whether it be to explore their ovarian health and fertility options or overall hormonal health, such as confirming a PCOS diagnosis. Currently, we can screen for 18 of the most common gynae pathologies which may lead to reduced fertility and signpost gynae cancers.

Ultimately, our aim is to change attitudes around reproductive health, both for individuals and in the workplace, and to encourage women to be proactive by tracking their reproductive health. We’re calling this the Reproductive Revolution!

The role

We’re looking for a Data Engineer to help us build the world’s first data platform for women to manage their hormonal health. This is an exciting opportunity to work with a variety of data from multiple sources. You will be building out scalable data solutions for clinical services that are changing the lives of women everywhere.

Key responsibilities will include:

• Structuring a data warehouse across multiple sources.
• Building data systems and pipelines.
• Developing ETL code for data cleaning and linking.
• Collaborating with data scientists, data analysts, product owners, backend and frontend engineers across several projects.