Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver data pipelines and products for reporting, analytics, and AI.
- Company: Join Redgate, a trusted tech company focused on collaboration and innovation.
- Benefits: Competitive salary, supportive work culture, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion in a dynamic, respectful environment.
- Why this job: Tackle real-world data challenges and make a visible impact across the business.
- Qualifications: Experience as a Data Engineer with strong SQL, Python, and Databricks skills.
The predicted salary is between 50000 - 60000 £ per year.
Location: Cambridge
In‑office expectation: Once every two weeks
Employment type: Permanent
Salary: £50,000 - £60,000 subject to experience
About Redgate
Redgate brings together people who want to do their best work in an environment built on trust, accountability, and collaboration. We build solutions that help data professionals securely manage the data and databases that their organizations depend on, a space that's only becoming more critical as systems scale, data regulations increase, and AI adoption accelerates.
Why join our engineering team?
- Build high‑impact data products used across Finance, Commercial, and Operations, with work that delivers visible value across the business.
- Work on a modern, evolving data stack, with the opportunity to shape standards, patterns, and how the platform develops over time.
- Tackle complex, real‑world data challenges at scale, alongside colleagues who genuinely value data quality, strong modelling, and reliable engineering.
About the role
- Own the reliability and usability of Redgate’s data, designing and delivering data pipelines and products that support reporting, analytics, and AI across the business.
- Build end‑to‑end data products on Databricks, using SQL, Python, and PySpark, from ingestion through to curated models used in Power BI and AI use cases.
- Work across a complex, real‑world data landscape, integrating multiple source systems with varying levels of quality and maturity.
- Apply strong engineering judgement, balancing data modelling, performance, cost, and structure to build durable solutions that stand up to real usage.
- Shape data engineering standards and practices, improving reliability, testing, observability, and cost efficiency, and helping enable future AI use cases.
What makes you a great fit
- Proven experience as a Data Engineer
- Experience working with Databricks
- Strong SQL and data querying skills
- Strong practical experience working with source control solutions such as GitHub, using methodologies such as Git Flow
- Experience using Python and PySpark to build and maintain data pipelines
Belonging at Redgate
We believe that people do their best work in an environment built on respect, fairness, and trust — and that diverse perspectives lead to better outcomes. Redgate is an equal opportunity employer, and we make hiring decisions based on skill, potential, and alignment with our values.
Data Engineer in Cambridge employer: RED GATE STORAGE
Contact Detail:
RED GATE STORAGE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees at Redgate on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data engineering prowess. Use Databricks, SQL, and Python to create something that highlights your ability to tackle real-world data challenges.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge and be ready to discuss your past experiences. Think about how you can demonstrate your understanding of data quality and engineering standards during the conversation.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Redgate team!
We think you need these skills to ace Data Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, SQL, and Python, and don’t forget to mention any relevant projects that showcase your skills in building data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at Redgate. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you apply strong engineering judgement to create reliable solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at RED GATE STORAGE
✨Know Your Data Stack
Familiarise yourself with the modern data stack mentioned in the job description, especially Databricks, SQL, Python, and PySpark. Be ready to discuss how you've used these technologies in past projects and how they can be applied to tackle real-world data challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data problems you've solved in previous roles. Highlight your engineering judgement and how you balanced factors like performance and cost while ensuring data quality. This will demonstrate your ability to handle the responsibilities of the role.
✨Understand Their Values
Redgate values trust, accountability, and collaboration. Think about how your personal values align with theirs and be prepared to share examples of how you've worked effectively in team settings. This will show that you're not just a technical fit but also a cultural one.
✨Ask Insightful Questions
Prepare thoughtful questions about their data engineering standards and practices. Inquire about their approach to integrating multiple source systems and how they ensure data reliability. This shows your genuine interest in the role and helps you assess if it's the right fit for you.