Freelance Data/Analytics Engineer (Remote, Part time)

at  MedBelle

WHO YOU ARE

• You have several years of professional experience in a business intelligence role, including data warehousing and analytics tools, specialising in data and analytics engineering.
• You are highly experienced in using SQL, Python, Git & CI/CD
• You are experienced in using Airflow, DBT, PostgreSQL, AWS
• You have experience with setup of Visualisation tools like Metabase, Mode, Tableau, etc. (Metabase preferred).
• You have worked with extraction of data from multiple sources, API integrations and building API’s for downstream consumption.
• You also have experience in developing Machine Learning models for some interesting use cases we work on.
• Have worked in an agile sprint based working model as well as a fast paced startup environment.
• You bring a high standard of quality and personal responsibility as well as attention to detail.
• You have advanced knowledge of data warehousing concepts and schema optimization based on usage patterns
• You maintain a proactive, creative and self-starter attitude

ABOUT THIS ROLE

As the first digital hospital, we are rebuilding the healthcare experience from scratch. This allows us to provide patients with an outstanding level of care that we would want our own loved ones to experience.Backed by renowned international investors, we are helping an ever-growing number of patients receive the highest quality of medical procedures the UK has to offer. To help us maintain this level of care, we need to expand our Marketing team with highly motivated and passionate people who thrive in a fast-paced and dynamic work environment.
We need to expand our Business Intelligence team with highly motivated and passionate people who thrive in a fast-paced and dynamic work environment.
As a Data / Analytics Engineer, you will play a crucial role in our mission to raise the standard of secondary care and make it accessible to all by designing and optimizing our data infrastructure.

WHAT YOU WILL DO

• You routinely use your experience in optimising and building scalable code-based ETL/ELT pipelines to facilitate reporting and analytics.
• You lead design and performance optimisations of our DWH to ensure scalability of our infrastructure, making recommendations on evolving our data stack
• You apply software engineering best practices to analytics code (e.g. version control, testing, continuous integration)
• You create and maintain model documentation and our data catalog