Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines using Azure and Databricks.
- Company: Join a forward-thinking data team in a modern tech environment.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and best practices.
- Why this job: Make a real impact by delivering robust data solutions at scale.
- Qualifications: Experience with Azure Data Platform, Databricks, and PySpark required.
The predicted salary is between 50000 - 70000 £ per year.
We’re looking for a Data Engineer to join a high-performing data function, playing a key role in building and scaling a modern Azure-based data platform. This is an opportunity to work on a Databricks lakehouse environment, delivering robust, scalable pipelines that power critical analytics and business insights.
The Role
You’ll be responsible for designing, building, and maintaining end-to-end data pipelines, taking data from source systems through to curated datasets ready for reporting and analytics. Working closely with architecture and delivery teams, you’ll help shape a high-quality, governed, and observable data platform.
What You’ll Be Doing
- Build and maintain Azure & Databricks pipelines
- Develop scalable ELT processes using PySpark
- Implement data quality, lineage, and security controls
- Own CI/CD pipelines and Infrastructure as Code (Terraform)
- Ensure pipelines are testable, observable, and easy to troubleshoot
- Optimise data services for performance and cost efficiency
- Collaborate with stakeholders to translate requirements into data solutions
- Contribute to Agile delivery with clear documentation and best practices
What We’re Looking For
- Strong experience with Azure Data Platform & Databricks
- Proven track record building scalable data pipelines
- Hands-on with PySpark / Spark-based processing
- Experience with Terraform & CI/CD pipelines
- Solid understanding of data governance, quality, and lineage
- Familiarity with Git-based workflows and DevOps practices
- Strong communication skills and ability to work with cross-functional teams
Why Apply?
- Work on a modern lakehouse architecture
- Be part of a forward-thinking data team
- Influence engineering standards and platform design
- Deliver impactful data solutions at scale
Data Engineer employer: RedRock Resourcing
Contact Detail:
RedRock Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. Use platforms like GitHub to share your code and demonstrate your expertise with Azure, Databricks, and PySpark.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing scalable data solutions and be ready to discuss your experience with CI/CD and Terraform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Databricks. We want to see how you've built scalable data pipelines and used PySpark, so don’t hold back on those details!
Showcase Your Projects: Include specific examples of projects where you’ve implemented CI/CD pipelines or worked with Terraform. We love seeing real-world applications of your skills, so let us know what you've achieved!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and directly related to the role. Avoid jargon unless it’s relevant!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role in the best way possible!
How to prepare for a job interview at RedRock Resourcing
✨Know Your Tech Stack
Make sure you brush up on Azure, Databricks, and PySpark before the interview. Be ready to discuss your experience with these technologies and how you've used them to build scalable data pipelines. Having specific examples in mind will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous projects, especially around data quality and governance. Think of a couple of scenarios where you implemented solutions or optimised processes. This will demonstrate your ability to troubleshoot and improve data services, which is crucial for the role.
✨Understand Agile Methodologies
Since the role involves contributing to Agile delivery, be ready to discuss your experience working in Agile teams. Highlight how you've collaborated with stakeholders and contributed to documentation and best practices. This shows that you can work well in a team and adapt to changing requirements.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team's current projects, the challenges they face, or how they measure success in their data initiatives. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.