Data Engineer

Who are we?

Qflow was founded in 2018 with a bold mission to empower the world to build responsibly. Our platform helps construction and development teams cut waste and reduce carbon emissions through real-time, data-driven insights. We’ve built a cutting-edge platform that gives project teams real-time insights into materials, waste, cost, carbon, and quality. Backed by leading investors, we have raised £11.2M in Series A funding.

Your role

We’re looking for a Data Engineer to join our Data group. Reporting to our Senior Engineering Manager, you’ll own the pipelines that get the right data, in the right shape, to the right place. Day-to-day tasks include designing and building data ingestion into Azure Cosmos DB, Microsoft Fabric, and relational databases; building data lake layers; collaborating with ML Engineers on training data pipelines; implementing data quality practices; and optimizing pipeline performance.

Your skills

• 4+ years of data engineering experience in a product/SaaS environment
• Hands-on with Azure Cosmos DB, Microsoft Fabric, PySpark, and PostgreSQL
• Proficiency in Python and SQL
• Experience with data quality practices and ML/AI data pipelines
• Working knowledge of Azure cloud infrastructure; Terraform a plus
• Excellent communication skills and comfort with ambiguity

Our offer

• Basic salary of £55,000 – £75,000
• Remote-first team with bi-weekly engineering gatherings and quarterly company-wide gatherings in London HQ
• Work travel expenses covered by Qflow
• Company laptop and tools
• 25 days annual leave + 3 days Christmas closure + bank holidays
• Private medical insurance, critical illness and life insurance
• Pension contribution up to 7%
• Enhanced family policy, paid volunteering day, overseas working policy
• Carbon offset via Ecologi
• Learning & development opportunities

Our promise

Creating an environment where everyone feels valued, respected and heard. Equal employment opportunities for all. No recruitment agencies.