Senior Data Engineer

Summary

Join JOOR, a Series D start-up, as a Senior Data Engineer and lead the redesign of our BigQuery-based data warehouse, focusing on scalability, performance, and usability. Develop and monitor Airflow DAGs using dbt and Python to ensure timely and reliable data flows. Maintain existing pipelines and tools, including Airflow, dbt, Fivetran, and Datastream, while keeping technical documentation updated. Collaborate with various teams to understand their data needs and deliver trusted results. This fully remote UK-based position requires 5+ years of data engineering experience and expertise in data warehousing, data modeling, pipeline building, Python, cloud platforms, and SQL.

Requirements

• 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

Responsibilities

• Lead the redesign of our BigQuery-based data warehouse for scalability, performance, and usability
• 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
• 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
• Collaborate with Analytics, Product, Marketing, and Engineering teams to understand their data needs and deliver trusted results

Benefits

• 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