Cognify Search
Junior Data Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Junior Data Engineer – Databricks / Azure
Location: Milton Keynes - Hybrid
Salary: Up to £45,000 per annum
About the Role
We are looking for a proactive and technically minded Junior Data Engineer to join a data engineering team working on a large-scale Databricks migration programme.
This is an excellent opportunity for someone early in their data engineering career to gain hands-on experience working with Azure, Databricks, PySpark, and SQL within a structured Agile delivery environment.
You will work as part of an established engineering team, contributing to the delivery of a significant data transformation programme. As the programme progresses towards a major delivery milestone in January, the complexity and scale of the work will increase, providing an opportunity to develop your technical capabilities and take on greater responsibility.
You will also have access to experienced Databricks engineers within the team, providing support and guidance as you build your knowledge of the platform.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Develop and maintain data solutions using Azure, SQL, PySpark, and Databricks.
- Support the development and migration of data platforms within a large-scale enterprise environment.
- Build and maintain data pipelines and data structures.
- Work with data transformation and integration processes across cloud-based environments.
- Investigate and resolve data and engineering issues.
- Work collaboratively with senior data engineers and wider delivery teams.
- Follow established development, testing, and deployment processes.
- Contribute to Agile ceremonies and team delivery activities.
- Develop your understanding of Databricks and modern cloud data engineering practices.
- Take increasing ownership of engineering activities as your technical confidence and experience develops.
About You
This role would suit a junior or early-career data professional who has a solid foundation in data engineering and is keen to develop their skills in a real-world cloud environment.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
You may already have experience as a Data Engineer, Junior Data Engineer, Data Analyst, or Analytics Engineer, or have gained relevant experience through a graduate or consulting programme.
We're particularly interested in candidates who have:
- Practical experience with SQL.
- Exposure to Python and/or PySpark.
- Knowledge of the Microsoft Azure ecosystem.
- Some exposure to Databricks, although this is not essential.
- An understanding of cloud-based data environments.
- The ability to work effectively within an Agile delivery methodology.
- A basic understanding of development and deployment processes or DevOps.
- Strong problem-solving and analytical skills.
- A willingness to learn new technologies and approaches quickly.
You don't need to be an expert in every technology listed. Around a year of relevant exposure or hands-on experience could be enough, provided you have the right technical foundations and attitude.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills