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# Data Engineer

- **Company:** HydraB
- **Location:** Oxford, United Kingdom
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Airflow, Microsoft Azure, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, SQL Databases, Cloud Platform System, Azure Data Factory, Snowflake, Machine Learning Operations, Terraform, Data Pipelines
- **Published:** November 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=23773701dd07b484

## About the Role

* Have hands-on, commercial data engineering experience, with production pipelines you've built and supported yourself
 * Are strong in Python and SQL, and write clean, tested, maintainable code
 * Have worked with Snowflake or a similar cloud data warehouse, including designing downstream data models
 * Have used a cloud platform, ideally Azure, and orchestration tooling like Azure Data Factory, Airflow or Prefect
 * Have a STEM or quantitative background and can engage confidently with researchers on modelling assumptions
 * Can explain a technical problem to a non-technical stakeholder without losing them
 * Enjoy working with a range of stakeholders, building trust and helping them prioritise what matters most
 * Are comfortable working autonomously and taking ownership from a loose brief

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

## Description

This is a hands-on engineering role with real autonomy and plenty of variety. You'll own the pipelines and models that the business and our research partners rely on, and you'll have the freedom to shape how things are built.
You'll support teams right across the Group, from engineering and operations to commercial. There's no shortage of appetite for good data here, so you'll help decide what matters most and explain trade-offs in plain English.
Reporting to the Head of Data Engineering, this is a permanent role based in Oxford a minimum of 3 days a week (more time on site is welcome).
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 * Build and run production pipelines that bring in, clean and join up real-world data from vehicles, chargers, energy systems and operations
 * Design data models in Snowflake that power reporting, Total Cost of Ownership modelling and WTech's machine learning research
 * Deploy and manage data resources in Azure, with orchestration, monitoring and alerting so failures get spotted fast
 * Help shape a scalable architecture (medallion-style raw, curated and consumption layers) as the platform grows
 * Agree data contracts and metric definitions with researchers and business teams, so everyone works from the same numbers
 * Work with teams across the Group to understand what they need, agree priorities and be clear about what can be delivered and when
 * Turn technical detail into something a commercial or operations lead can understand and act on
 * Keep documentation clear and improve how we build, test and ship data