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For Companies At a Glance
- Tasks: Design and deliver data pipelines and products for analytics and AI.
- Company: Join Redgate, a trusted tech company focused on collaboration and innovation.
- Benefits: Competitive salary, flexible work schedule, and a supportive team environment.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- 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 and Python skills.
The predicted salary is between 50000 - 60000 £ per year.
At a glance
- 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 employer: RED GATE STORAGE
Contact Detail:
RED GATE STORAGE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Data Engineer role at Redgate.
✨Show Off Your Skills
Create a portfolio showcasing your data projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. Highlight your experience with Databricks, SQL, and Python to catch the eye of hiring managers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and data pipeline skills. Practice common data engineering problems and be ready to discuss how you've tackled real-world challenges in your previous roles.
✨Apply Through Our Website
Don't forget to apply directly through the Redgate website! It shows you're genuinely interested in the company and makes it easier for us to find your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with Databricks, SQL, and Python, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our team. Share specific examples of past projects that showcase your skills and problem-solving abilities.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve worked on data pipelines or used GitHub, include details about the challenges you faced and how you overcame them. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Redgate.
How to prepare for a job interview at RED GATE STORAGE
✨Know Your Data Tools
Make sure you brush up on your knowledge of Databricks, SQL, Python, and PySpark. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific data challenges you've tackled. Think of examples where you had to integrate multiple data sources or improve data quality. This will demonstrate your engineering judgement and ability to deliver reliable solutions.
✨Understand the Company Culture
Familiarise yourself with Redgate's values around trust, accountability, and collaboration. Be ready to share how your personal values align with theirs, and how you can contribute to a positive team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about their current data stack, ongoing projects, or how they approach data engineering standards. This shows your genuine interest and helps you assess if it's the right fit for you.