Data Engineer
London
Apply
Ready to revolutionize healthcare, making it faster and more accessible than ever before?
How we started:
Back in 2013, our founder Dwayne D’Souza saw an opportunity to give people faster and more convenient access to medications using technology. We've grown rapidly since our inception, without any external funding whatsoever – achieving profitability through innovation and a highly disciplined approach to growth.
Where we are now:
We’ve earned the trust of millions of people worldwide through our top-selling products and well-known brands: MedExpress, Dermatica, ZipHealth, RocketRX, and Levity. A lot of our success is down to having our own pharmacies, manufacturers and products – spearheaded by leading in-house medical teams, researchers and pharmacists. Our 2023 global revenue was $80m, and we’re set to more than double this in 2024 as we look to surpass $200m and positively impact the daily lives of more people than ever before. There’s never been a more exciting time to join HeliosX.
Where we’re going:
Over the next five years, you’ll support our goal to become a world-leading healthcare partner, deepening our customer relationships, expanding into new countries, and diversifying our product portfolio to treat more conditions. You’ll be part of helping more people access prescription treatments and, most importantly, making personalised care better, quicker and easier for everyone.
Come be a part of making our dream of easier and faster healthcare a reality!
The Opportunity
The Analytics Engineering team at HeliosX is on a mission to accelerate decision making and empower the business with the strategic insights necessary to ensure our continued success. Data has played a critical role in our growth so far and will continue to do so in 2024 as we begin scaling our DTC brands and services internationally.
We are looking to hire an inquisitive, solutions-focused Analytics Engineer to join our team. You’ll work with the latest cloud technologies (AWS, Snowflake, dbt, Airflow, etc.), building exceptional data products across the full stack from ingestion through to visualisations. You’ll also have the opportunity to work on exciting machine learning projects, training and productising models that will steer our approach to a range of complex business problems.
This is a full time, permanent position. There will be a hybrid working arrangement, with two days per week expected on site at our offices in Central London.
What you'll be doing:
- Design and build data warehouse structures and materialised views for reporting.
- Design and build ETL processes to integrate, structure, and cleanse data from multiple sources.
- Work cross-functionally with Engineering teams to ensure availability, reliability, and scalability of the data environment to meet business needs.
- Productise models into the Snowpark applications for use in data pipelines and products.
- Create training data sets and procedures to train and validate models.
- Collaborate with Engineering teams on model serving, ensuring models can be integrated with our data products.
- Monitor and maintain system health and security, investigating and resolving issues.
- Help to configure, test, and improve HeliosX’s data infrastructure, including the use of our orchestration and transformation tools.
What you’ll bring to HeliosX
- Prior professional experience in a data or analytics engineering role
- Strong knowledge of SQL and Python, alongside an understanding of data warehouse design principles/best practices
- Practical experience using data transformation (e.g. Dbt) and orchestration (e.g. Airflow DAGs) tools, as well as experience using Git for version control
- Understanding of data visualisation tools (we use Metabase) and applied experience building dashboards to specifications from business stakeholders
- Experience with data streaming solutions such as AWS Kinesis
Whilst not requirements, experience with CI/CD, acceptance testing, and/or building ML data pipelines would be considered an advantage. #LI-hybrid
