About The Role
Data Engineer
DNA Vetcare Home Based - UK Salary: up to £40k
The role
You will work day-to-day alongside our Senior Data Engineer, Full Stack Developer and AI Automation Developer in a small, practical and collaborative team.
The role will involve building and maintaining data pipelines, supporting integrations between our core systems, cleaning and transforming clinic data, improving reporting workflows, and helping migrate legacy Microsoft 365 / Power Automate processes onto a more scalable modern data stack.
This is not a narrow "reporting only" role. You will be close to the real operational problems of a growing veterinary group and will be expected to take ownership of useful, practical projects that make a visible difference across the business.
What you'll do
- Build and maintain data pipelines and integrations between our core systems.
- Extract, clean and transform data from multiple sources, including veterinary practice management platforms.
- Support reporting, analytics and operational dashboards for teams across the group.
- Help maintain existing Microsoft 365 automations and support their migration onto a more robust pipeline stack.
- Work with clinic, finance, operations and leadership data to make it more reliable, usable and connected.
- Support AI-driven automation projects by preparing, structuring and validating the data that powers them.
- Help document, simplify and de-risk our data infrastructure.
- Troubleshoot data issues, integration failures and reporting inconsistencies.
- Work closely with the Senior Data Engineer to improve how we build, monitor and maintain data processes.
What we're looking for
We are not expecting you to know our full stack from day one, but you should be technically strong, practical and comfortable working in a small team where priorities can move quickly.
Essential skills
- Strong SQL, including joins, aggregations, window functions and the ability to read and improve queries written by others.
- Working Python, including pandas, REST APIs, CSV and Excel handling, and basic error handling.
- A good understanding of data pipelines, including scheduling, task dependencies, incremental versus full loads, and how to safely re-run failed jobs.
- Git fundamentals, including branching, commits and merge requests.
- Confidence working with Microsoft 365 tools such as Excel, SharePoint and Outlook.
- Ability to open, understand and troubleshoot existing Power Automate flows.
- A practical, problem-solving mindset and the confidence to ask questions, document your work and improve existing processes.
- Interest in AI-driven automation and how clean, structured data can safely power internal AI tools.
Our stack
- Google BigQuery
- Apache Airflow
- dbt
- Python 3
- Firebase, including Cloud Functions, Firestore and hosting
- GitLab and CI/CD
- Docker
- Google Cloud Platform
- AWS
- Power BI
- Power Apps
- Power Automate
Nice to have
- Hands-on experience with Airflow, dbt or BigQuery.
- Docker basics.
- Cloud platform exposure, especially GCP or AWS.
- Experience working with healthcare, veterinary, retail, multi-site or operational data.
- Familiarity with AI automation, internal copilots or secure data access for AI assistants.
- Awareness of MCP-style integrations or safe ways for AI assistants to query structured business data.
What we offer
- Salary: up to 40k
- Home-based or hybrid working, depending on location and business needs.
- Real ownership and variety from day one.
- The chance to work on practical data and automation projects that directly affect 50+ clinics.
- A small, collaborative team where your work is visible and your ideas are heard.
- The opportunity to help shape the future data and AI infrastructure of a growing veterinary group.
About you
You are likely to enjoy this role if you like solving real business problems, not just building perfect systems in isolation. You should be comfortable working with messy data, legacy workflows and practical operational requirements, while helping us move towards a cleaner, more scalable data platform.
You do not need to be the finished article, but you do need to be curious, dependable, technically capable and keen to learn.