Data Engineer (Azure/Snowflake)

Location: Oxford, Oxfordshire, United Kingdom; hybrid, with a minimum of 3 days per week on site

Company

hirify.global develops hydrogen and electric infrastructure, vehicles, power systems, and energy services supporting the UK transition to net-zero transport and energy.

What you will do

• Build and operate production pipelines that ingest, clean, and join data from vehicles, chargers, energy systems, and fleet operations.
• Design Snowflake data models supporting reporting, Total Cost of Ownership modelling, and machine learning research with WTech.
• Deploy and manage Azure data resources, including orchestration, monitoring, and alerting.
• Help shape scalable medallion-style data architecture with raw, curated, and consumption layers.
• Define data contracts and metrics with researchers and business teams, prioritise delivery, and explain technical trade-offs to non-technical stakeholders.
• Maintain documentation and improve data development, testing, and deployment practices.

Requirements

• Hands-on commercial data engineering experience, including production pipelines personally built and supported.
• Strong Python and SQL skills, with clean, tested, and maintainable code.
• Experience with Snowflake or a similar cloud data warehouse and downstream data model design.
• Experience with a cloud platform, ideally Azure, and orchestration tools such as Azure Data Factory, Airflow, or Prefect.
• STEM or quantitative background and the ability to engage with researchers about modelling assumptions.
• Ability to explain technical problems clearly to non-technical stakeholders.
• Experience collaborating with varied stakeholders, building trust, and prioritising requirements.
• Comfort working autonomously and taking ownership from a loose brief.

Nice to have

• Background in telematics, transport, automotive, energy, or heavy industry.
• Experience with dbt for in-warehouse transformation and testing.
• Experience with CI/CD for data pipelines and infrastructure as code such as Terraform.
• Experience working with research institutions or academic partners.
• Exposure to machine learning pipelines or supporting data science teams.

Culture & Benefits

• Permanent full-time role reporting to the Head of Data Engineering, with autonomy and ownership across the Group.
• Up to 8% employer pension contribution.
• Private medical and dental cover, life assurance at 4x basic salary, income protection, and critical illness cover.
• 25 days of holiday plus bank holidays, with buy-and-sell flexibility.
• Electric car salary sacrifice, Cycle to Work scheme, Employee Assistance Programme, retail discounts, cashback, and eyecare vouchers.