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, flexible in-office schedule, and a supportive work environment.
- Other info: Diverse and inclusive workplace with clear career progression opportunities.
- Why this job: Tackle real-world data challenges and shape the future of data engineering.
- 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
What happens next?
Your application will be reviewed by a person – we don’t use AI or automated tools to assess applications. Every profile is read by one of our Talent Partners. You’ll hear back within a few days – whether it’s a next step or a no, we aim to respond promptly so you’re not left wondering. Our interview process is straightforward and consistent – you’ll find more detail on our typical hiring process below, so you know what’s coming and why.
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. You can read more about how we approach belonging and inclusion at Redgate on our Belonging at Redgate page here.
Data Engineer in Cambridge employer: Redgate
Redgate is an exceptional employer located in Cambridge, offering a collaborative and trust-based work environment where data professionals can thrive. With a focus on employee growth, you will have the opportunity to tackle complex data challenges and shape the future of data engineering while enjoying a competitive salary and a commitment to diversity and inclusion.
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
Prepare for the interview by brushing up on your SQL, Python, and PySpark skills. We know you’ve got the experience, but showing off your knowledge in a practical way can really impress the hiring team.
✨Tip Number 3
Don’t just talk about your past projects; bring them to life! Use specific examples of how you tackled data challenges and improved processes. This will show that you’re not just a Data Engineer, but a problem solver.
✨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 our awesome team at Redgate.
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, as these are key skills we're looking for. We want to see how your background aligns with what we do at Redgate!
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 you can contribute to our team. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building data pipelines or using GitHub, we want to know about your hands-on experience and how you've tackled real-world challenges.
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application goes straight to our Talent Partners who will review it personally. Plus, it shows us you're keen on joining our team at Redgate!
How to prepare for a job interview at Redgate
✨Know Your Data Tools
Familiarise yourself with Databricks, SQL, Python, and PySpark before the interview. Be ready to discuss your experience with these tools and how you've used them to build data pipelines. This will show that you’re not just a theoretical candidate but someone who can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering. Think of examples where you tackled complex data issues or improved data quality. This will demonstrate your engineering judgement and ability to deliver durable solutions.
✨Understand the Company Culture
Redgate values trust, accountability, and collaboration. Research their work environment and be ready to discuss how your personal values align with theirs. Showing that you fit into their culture can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and future AI use cases at Redgate. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. It’s a two-way street!
