Data Engineer, Qflow
£55-75k
More information about location
Qflow is a B2B SaaS scale-up transforming the construction industry
Be an early applicant
Qflow is a B2B SaaS scale-up transforming the construction industry
21-100 employees
Be an early applicant
£55-75k
More information about location
21-100 employees
Company mission
To provide the data that empowers the world to build responsibly.
Role
Who you are
- We’re looking for a mid-to-senior engineer who is comfortable taking ownership of complex data infrastructure in a fast-moving startup. You bring engineering rigour to data problems, and you understand that the quality of what goes in determines the quality of what comes out. What matters most is your ability to build reliable, production-grade pipelines that real AI and analytics products depend on
- 4+ years of experience in a data engineering role, ideally in a product or SaaS environment
- Ability to think about data quality from an end user perspective – i.e. the value of our data and customer trust in data – as well as an internal perspective (validity, uniqueness, etc)
- Hands-on experience with Azure Cosmos DB, including data modelling for document-oriented workloads
- Experience with Pyspark
- Strong working knowledge of Microsoft Fabric or Azure Data Lake Storage, including experience designing medallion or equivalent layered architectures
- Solid SQL skills and experience with relational databases (PostgreSQL or similar)
- Proficiency in Python for pipeline development, transformation logic, and orchestration
- Experience building data pipelines that feed ML or generative AI workflows — understanding of what ‘good’ training and inference data looks like
- Familiarity with data quality practices: validation, monitoring, alerting, and lineage
- Working knowledge of Azure cloud infrastructure and services; exposure to Terraform or infrastructure-as-code is a plus
- Exposure to CI/CD practices and containerisation with Docker or similar
- Experience using AI coding tools to accelerate development while maintaining the ability to audit and correct LLM output for performance at scale
- Excellent communication skills, able to work across engineering, product, and non-technical stakeholders
- Comfortable with ambiguity and incremental delivery in a startup environment
- Nice to have: experience with Retool; familiarity with Medallion architecture
What the job involves
- We’re looking for a Data Engineer to join our Data group. a cross-functional, high-impact team at the intersection of data engineering, machine learning, and data quality. The team designs, develops, and operates the scalable data infrastructure that powers Qflow’s platform and AI capabilities
- Reporting to our Senior Engineering Manager and working closely with ML Engineers and Data Quality experts, you’ll own the pipelines that get the right data, in the right shape, to the right place. Here’s what you’ll do day to day:
- Design, build, and ingesting data from multiple sources into our data infrastructure (currently 100M+ rows and growing)
- Work with Azure Cosmos DB, Microsoft Fabric, and relational databases to model, store, and serve data at scale
- Build and manage data lake layers in Microsoft Fabric, including ingestion, transformation, and serving patterns that support both ML and analytical workloads
- Collaborate with ML Engineers to ensure training data is clean, versioned, and correctly structured — including pipelines that feed generative AI features
- Partner with Data Quality experts to implement validation, monitoring, and lineage tracking that give the team confidence in what flows through our systems
- Optimise pipeline performance, reliability, and cost; debugging failures quickly and building resilience in
- Contribute to data governance practices, including schema management, access controls, and documentation
- Maintain high standards in code quality, testing, and reproducibility, and share knowledge across the team
- Make informed trade-off decisions to manage the cost of Fabric compute
Application process
- 1. 30minute - Talent Screening
- 2. 45minute - Hiring Manager - CV Deep Dive
- 3. 90minute - Technical Interview
- 4. 30minute - SLT intro
Our take
Typically, businesses in the construction industry have endured tensions around sustainability efforts and net zero projects. Qflow, aka Qualis Flow, aims to remedy this, by helping one of the world’s most pollutive industries become greener through data-driven insights that reduce carbon emissions and cut waste.
Combining a team of construction professionals and software engineers, the data analysis services of Qflow benefit both contractors and developers, focussing on ways to make the supply chain more sustainable and environmental audits more bearable and simpler to understand.
After oversubscribed Series A and VC rounds in 2023, Qflow has been expanding its team, growing operations in the UK and breaking new markets in Australia and the US. The company is exceeding expectations, especially factoring in the decline of building projects due to funding and labour shortages. Perhaps Qflow’s solution can even be part of the industry’s reignition.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Feb 2026
$2.7m
EARLY VC
Jul 2025
$2.3m
SERIES A
Total funding: $17.5m
Company benefits
- 🏡 Remote-first team (we enjoy meeting up from time to time in our London HQ and we would love to see you there too!)
- 💻 Company laptop and tools
- 🏝️ 25 days annual leave + 3 days company closure at Christmas + bank holidays
- 🤒 Paid sick leave
- 🩺 Private medical insurance
- 🏥 Critical illness and life insurance
- 💰 Pension contribution up to 7%
- 👥 Enhanced family policy
- 🙋 Paid volunteering days
- ✈️ We offer up to 90 days of overseas working
- 🌎 We’ll offset your annual carbon footprint on your behalf via Ecologi
- 📚 Learning & development and career progression opportunities
- 🤩 Company social events (online and in person!)
Company values
- Compassionate Candour
- Enduring Ethics
- Act like an Owner
- Curiosity with Action
- Stronger Together
Company HQ
London, UK
Articles
Leadership
Jade Cohen
(Co-Founder & CPO)Currently part of the Start-up Advisory Group for the UK Green Building Council (UKGBC). Previously a member of Cohort 3 at BOOST, EFLD10 Member with Entrepreneur First and Environmental Advisor at Skanska.
Brittany Harris
(Co-Founder & CEO)Member of the Board of Directors for the Environment Agency. Previously Steering Committee Member of the National Infrastructure Commission and Board Member of Cambridge Wireless Limited. Was a member of Cohort 3 of BOOST.
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