Data Engineer

About Us

Men don’t look after their health unless they have to. We want to change that from the ground up. We are building the global destination for men's health, scaling at an incredible pace, and leading the charge to help improve the lives of men everywhere. We started from the UK, then expanded to Brazil and are currently looking to bring our product to many more people across the world.

We’re de-stigmatising how men approach their health by offering easy access to diagnostics, a holistic range of treatments, ongoing care and medical advice, as well as a community to help men proactively improve their health and wellbeing. A place that didn't exist until now.

After a $30 million Series A round from the US and Europe's top investors that have also invested in Peloton, Oatly, Deliveroo and Farfetch, we are on a mission to build one of the most impactful teams in the healthcare space. We are looking for incredibly ambitious, entrepreneurial, driven and fun people to join us as we accelerate our growth and expansion.

This is an exciting time to join the UK's fastest growing men's health destination and help supercharge our mission.

The Role

We’re on a mission to transform our current data stack into a transparent, trusted, stable and scalable platform. We’re in the process of rebuilding it from the ground up using the latest and greatest tools (Fivetran, DBT, Snowflake, Tableau).

This role will be key in helping us to build our data foundations to allow us to switch from a data starving to data led organisation.

Responsibilities

• Work with the business to understand requirements and translate in to data pipelines, associated data and database structures and fine tune performance to meet those requirements
• Responsible for the development, operation and maintenance of data pipelines to ingest and transform data source, including defining best practice
• Implementing monitoring for data ingestion jobs and taking corrective action should they fail
• Participate in establishing processes and best practices around development standards, version control, quality control, deployment, maintenance and change management.
• Engineering our data platforms for scale, performance, reliability and security
• Supporting our analytics engineers in consuming data and delivering data for analysts across the business

Requirements

Experience

• Proven experience in performing a range of Data Engineering activities across multiple data products and pipelines.
• Skills in SQL
• Previous experience with DBT, Fivetran, Snowflake (nice to have)
• Python (nice to have)
• Experience in modern analytics and data architectures
• Experience in the monitoring, measuring and maintenance of data quality.
• Experience managing data ingestion and processing operations
• Experience in Data Warehousing best practices
• Nice to have previous experience in the health, wellness, hospital, pharmaceutical or digital / ecommerce
• A person who uses their own initiative and is proactive
• And must enjoy working in a fast paced environment

Benefits

• Competitive salary based on experience
• Generous stock option plan
• Enhanced workplace pension contributions
• Hybrid, flexible remote working - up to 40% remote (incl. up to 30 consecutive days at a time)
• Macbook pro or PC Laptop (your choice!)
• Perkbox perks - discounts and freebies at hundreds of the top brands!
• 25 days holiday
• Very competitive maternity, paternity, adoption, shared parental leave, parental leave policies