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If modern wellbeing were redesigned from scratch it wouldnt live in a GPs office or a cluttered supplement aisle. It would be digitalfirst beautifully curated and powered by data that actually helps you feel your best.
Thats what were building at Healfan ecommerce platform at the intersection of personalised health and curated wellbeing. We connect customers with the worlds most effective products across EAT MOVE MIND and SLEEP and were just getting started.
We combine cultureshaping storytelling cuttingedge health tech (like our new blood testing platform Healf Zone) and a bestinclass product experience to help people build rituals that work.
Backed by investors behind Soho House Alo Yoga Cult Beauty and Innocent were scaling fastand redefining how the world shops and lives well.
We are looking for a talented and enthusiastic Data Engineer/ Analytics Engineer to join our dynamic team supporting the growth of our datadriven operations in the health and wellness ecommerce sector. In this role you will play a key part in designing building and optimising scalable data pipelines ensuring highquality actionable data is readily available to drive decisionmaking.
Working with modern tools like Snowflake and dbt youll build and maintain our data infrastructure and collaborate with crossfunctional teams including analysts and stakeholders to support reporting and insights. Youll also have the opportunity to work closely with our ThoughtSpot BI platform helping enhance its use and empower teams with actionable analytics.
This is a fantastic opportunity for someone with a passion for data engineering and analytics who thrives on solving complex problems and contributing to the success of a fastpaced dataled organisation.
Design develop and maintain scalable and reliable ETL pipelines to extract transform and load data from a variety of sources.
Build and optimise data models using Snowflake and dbt to ensure accuracy integrity and accessibility across the organisation.
Write and optimise complex SQL queries for data transformation reporting and analysis.
Collaborate with analysts and stakeholders to understand data requirements and deliver tailored data solutions.
Contribute to the ongoing development and optimisation of our ThoughtSpot BI platform ensuring it delivers insightful and accurate analytics to teams.
Implement and maintain data quality checks monitoring systems and alerts to ensure reliable data pipelines.
Leverage Python to develop scripts for automation data integration and manipulation.
Manage cloud storage solutions particularly AWS S3 for efficient handling of large datasets.
Stay ahead of industry best practices and emerging technologies to continuously improve our data engineering capabilities.
Strong expertise in SQL including writing and optimising complex queries.
Experience designing and managing ETL pipelines in a production environment.
Proficiency in Python for data manipulation automation and integration tasks.
Handson experience with building and managing data pipelines and models.
Familiarity with data modelling data warehousing and modern data stack principles.
Experience working with cloud platforms particularly AWS (e.g. S3 Glue).
An analytical mindset with the ability to work with large datasets and optimise workflows for performance.
Strong communication skills and the ability to work effectively with crossfunctional teams to deliver impactful data solutions.
Experience with ThoughtSpot BI or similar business intelligence tools.
Knowledge of ecommerce data structures including pricing inventory and product performance metrics.
Full Time