Senior Data Engineer - UK Remote
Founded in 2010, JOOR now services more than 14,000 brands and over 600,000 buyers across 150 countries, processing an incredible $1.7B in wholesale transaction volume each month. Backed by Macquarie Group, Battery Ventures, Canaan Partners & ITOCHU, JOOR is a Series D start-up that provides the world's most recognised brands and retailers with a digital wholesale management platform that transforms the way these businesses work.
With a CEO recently named a Glossy 50 "Changemaker in the Fashion Industry" and inducted into Forbes' "50 Over 50" 2022 class, JOOR is attracting top talent to drive market dominance. With our team of 150+ experts, we maintain an established global presence with employees in key markets in North America, Europe and APAC.
What You'll Do:
Lead the redesign of our BigQuery-based data warehouse for scalability, performance, and usability. The current data warehouse has grown organically, and we need to rethink it to ensure it meets our users’ needs.
Develop and monitor Airflow DAGs using dbt and Python to ensure timely, reliable data flows. Sync with engineering teams to anticipate data changes coming from our platform. We use the GCP’s managed Airflow environment, and our code is on Github.
Keep existing pipelines, Airflow, dbt, and ingestion tools (Fivetran, Datastream) running smoothly with minimal downtime. We ingest data from Salesforce and other sources using Fivetran, but most of our data comes from PostgreSQL via Datastream. Some other integrations run through dbt tasks using the source APIs.
Keep technical docs keep up to date to help others understand the data stack and workflows. We keep everything documented in Confluence.
Collaborate with Analytics, Product, Marketing, and Engineering teams to understand their data needs and deliver trusted results. We favour async communication, but recognise that sometimes a meeting with a well-defined agenda is needed.
We would LOVE to hear from you:
5+ years of experience
working in data engineering or similar roles.
Hands-on experience designing and maintaining modern data warehouses , preferably with BigQuery or similar (e.g., Snowflake, Redshift).
Strong data modelling skills , including experience with dimensional modelling and designing for analytics.
Solid experience building and maintaining data pipelines
using orchestration tools (e.g., Airflow, Prefect, Luigi) and transformation frameworks (e.g., dbt or custom SQL-based workflows).
Proficiency in Python , especially for data-related scripting and workflow automation.
Comfort with cloud platforms
(e.g., GCP, AWS, or Azure), including data ingestion, storage, and compute tools.
Strong SQL skills , with an ability to write clean, efficient, and maintainable queries.
What we offer:
Location: The position is fully remote based within the UK with a small remote stipend
Competitive base salary
Private Medical, Dental, & Vision coverage
Competitive time off policy including half day wellness days and Summer Fridays
Collaborate with our teams around the world
Opportunities for growth and development through various internal initiatives
Transparency into the state of our business via quarterly all-hands meetings, showcasing the company’s performance in relation to revenue and growth
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