Data EngineerHertility Health

London, England, United Kingdom 08-07-2023


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.


The skills, knowledge and experience we’re looking for include:

  • Experience with designing and building out database & data warehousing systems.
  • Experience in building software using Python.
  • Good understanding of software development principles and practices (e.g. - version control, typing, TDD, structured code).
  • Experience in using Docker containers.
  • Hands-on experience with cloud computing services (ideally AWS). Knowledge of Terraform would be a bonus
  • Extensive experience with SQL database design (We mainly use PostgreSQL).
  • Knowledge of NoSQL and Graph databases.
  • Knowledge of big data processing technologies (e.g. - Spark, Redshift).
  • Great numerical and analytical skills.
  • Able to communicate complex technical details to non technical team members.
  • Data as a product mindset.
  • 5+ years experience.
  • Degree in Computer Science, IT, or similar field; a Master’s is a plus.
  • Experience working with healthcare data would be a bonus. In addition, any experience in advanced numerical computing (e.g. - using GPUs to power Ai and machine learning) would be desirable.


We are a young, dynamic team revolutionising women’s health. As our Data Engineer, you will get a salary of between £75k - £85k + equity options as well as:

  • 33 days paid holiday allowance (including public holidays).
  • Company laptop.
  • Flexible working hours - we trust that our team can manage their time and will get the job done.
  • 5% pension scheme matched by 4% employee contribution.
  • Mental health support from an in-house counsellor.
  • Free access to Hertility Health products and services, including free of charge hormone and fertility tests and discount codes for employee friends and family.
  • Opportunities for further learning and development.
  • Enhanced Family Leave policy (maternity leave / paternity leave/ adoption leave).
  • Progressive health leave (menstruation and menopause policies).

Equality & Diversity:

Hertility Health is an equal opportunity employer that is committed to diversity and inclusion both within the workplace and throughout our application process. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We understand that applying for a new job takes a lot of work and we really value your time. We are really looking forward to reading your application.


Applications are now closed