At a Glance
- Tasks: Build and maintain data pipelines, support integrations, and improve reporting workflows.
- Company: Join DNA Vetcare, a fast-growing veterinary group with a collaborative tech team.
- Benefits: Salary up to £40k, remote work options, and real ownership from day one.
- Other info: Dynamic environment with opportunities for personal growth and shaping future data infrastructure.
- Why this job: Make a visible impact on 50+ clinics while working with innovative data solutions.
- Qualifications: Strong SQL and Python skills, plus a practical problem-solving mindset.
The predicted salary is between 40000 - 40000 £ per year.
DNA Vetcare is a fast-growing group of 50+ veterinary clinics across the UK. Behind the scenes, our small technology team supports the data, systems, automations and reporting that help our clinics run smoothly every day. We work across practice management systems, Microsoft 365, reporting dashboards, internal tools, integrations and increasingly AI-driven automations.
We are now looking for a hands-on Data Engineer to join the team and work closely with our Senior Data Engineer. This is an important role for us: many of our systems, reports and automations rely on well-structured, reliable data, and we want to increase our development speed while reducing key-person dependency.
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:
Experience with any of the following would be useful, but we do not expect you to know everything:
- 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.
Data Engineer - Remote within UK in London employer: DNA Vetcare
At DNA Vetcare, we pride ourselves on being an exceptional employer that values the growth and well-being of our team members. Located in Chatham, Kent, our supportive and collaborative work culture fosters professional development and offers exciting long-term opportunities within a rapidly expanding independent veterinary group. Join us to make a meaningful impact while enjoying a competitive salary and the chance to work closely with senior leaders in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Remote within UK in London
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We think you need these skills to ace Data Engineer - Remote within UK in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at DNA Vetcare, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DNA Vetcare. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at DNA Vetcare
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DNA Vetcare!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
