Data Engineer - in-depth Python, HealthTech. Urgent requirement - interviewing now. 

Hybrid - a day each week central London

£50-75k + benefits

Our client is a digital surgery scale-up (launched in 2016) with a rapidly growing customer base across the UK, Europe, US and Australia, working with prestigious healthcare clients (including global medical device companies, state-wide US hospital networks, the NHS and large government institutions).

Sustained growth and a partnership with a billion-dollar US healthcare company underpins this opening for a talented Python Data Engineer to help take their data infrastructure and pipelines to the next level. 

The current tech stack is Python, PostgreSQL on RDS, Airflow and Snowflake. This is NOT a role where you’ll be just configuring data tooling… it’s hardcore Python and SQL coding!

The role:

The Data Engineer will be core to the design and implementation of a new operational data warehouse and a new analytical data warehouse from scratch. This entails:

• Helping to rebuild reporting interfaces across the product and the analytics warehouse. You will be core to creating the infrastructure for this effort as well.
• Working with the backend team to assist with data optimisation, real-time data queries, and other infrastructure projects
• Proactively analysing and improving the quality of the systems: including performance, scalability, maintainability, test coverage and documentation

You will need:

• 3+ years of hands-on experience with Python. Python is the core competency hence it’s crucial for you to be intimately familiar with collaborative Python development
• Very comfortable with SQL, preferably PostgreSQL
• Experience with Snowflake
• Growth mindset: a love of learning and resilience in the face of odds
• Team mindset
• CI/CD and modern software testing
• Foundational AWS products and systems, such as RDS, S3 and EC2