Data Engineer

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 diagnose 9 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

The Data Engineer is responsible for collecting and interpreting data, turning this into information used to inform business decisions. You will work collaboratively with key stakeholders on current and future needs for data infrastructure that will ensure a scalable, reliable, and secure data footprint.

You will work closely with stakeholders across the Data team, Product team and Engineering team, responsible for maximising value from our data assets, whilst ensuring all data is secured and controlled to the highest possible standard.

This position will play a vital role in the future of Hertility; you will be part of a small and growing Engineering team, working with large data sets and creating and managing data sets. This will include:

• Organising and orchestrating our data processes, building a single source of truth for all things data
• Active involvement, and ownership of aspects of the Data Engineering team workflows, including; data modelling, data pipeline, database design & automation
• Designing and maintaining data pipelines, integrating data from various internal and external source systems into a single source of truth
• Ensuring all major data assets are secured, catalogued and available
• Set up systems and pipelines to capture, store and give access to business information in a meaningful way
• Identify, design, and implement improvements to the current data process.
• Work on automation of new and existing data engineering processes
• Proactive identification of data quality issues in the data warehouse, to help drive use of accurate information by all business functions

Requirements

As well as having experience in our tech stack below, we are looking for a solution driven Data Engineer with a ‘get things done’ mindset; someone who is willing to learn and grow with our company and isn’t afraid to suggest and implement their own ideas.

It’s an incredibly exciting time to be a part of Hertility. and we’re looking for someone who wants to actively contribute to our growth and really own their workflow.

You will always look to develop and improve processes, you’ll be a good communicator and someone can collaborate with multiple stakeholders across the business, providing feedback upwards.

The ideal person will have the capability to balance multiple tasks, and switch priorities as and when needed. You should have excellent communication skills, with the ability to interact with all levels of end users and technical teams.

Tech stack

• Proficient in Python; R is a bonus
• Cloud Technologies (AWS is preferred)
• Serverless data pipeline (AWS Lambda)
• Terraform and infrastructure as code in general
• Relational databases (MYSQL)
• AWS Aurora and AWS RDS
• Data catalogue experience (Amundsen or other)
• Managing secrets through AWS and Github secrets.
• Deployment pipeline on Github actions

Benefits

We are a young, dynamic team revolutionising women’s health. As a Data Engineer, you will get a salary of between £55k - £75k + equity options as well as:

• 33 days paid holiday allowance (including public holidays)
• Company laptop
• Option to work from home, or in a shared office, or a combination of both
• 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)