We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist.
This is an excellent opportunity for either an experienced mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role.With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions.
The Role:
You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business.
Benefits include:
25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more!
£55K Basic Salary + Bonus
Key responsibilities include:
Developing and maintaining scalable data pipelines using Python
Automating manual Excel/VBA workflows into reliable, production-grade systems
Working with large datasets using Spark and Azure (Databricks/Synapse)
Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work)
Driving best practices including Git, CI/CD, and code reviews
Collaborating with stakeholders to deliver actionable data solutions
What they re looking for:
Strong Python and SQL skills
Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure)
What s on offer:
The chance to join a business at an exciting stage of growth following recent investment
A collaborative and supportive team environment
Clear opportunities for development and progression
Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this.
If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!