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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 collaborative tech company focused on data solutions.
- Benefits: Competitive salary, supportive culture, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion in a respectful work 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 and Python 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: Redgate Software
Contact Detail:
Redgate Software Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Cambridge
✨Network Like a Pro
Get out there and connect with folks in the data engineering space! Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them you’re great at SQL or Python—show it! Create a portfolio of projects or contribute to open-source initiatives. This way, you can demonstrate your expertise and passion for data engineering.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding data structures. Practice common interview questions and be ready to discuss your past projects. Confidence is key, so believe in your abilities!
✨Apply Through Our Website
When you find a role that excites you, 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 genuinely interested in joining our 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 real-world problems, so don’t hold back!
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 Redgate Software
✨Know Your Data Tools
Familiarise yourself with Databricks, SQL, Python, and PySpark. Be ready to discuss your experience with these tools and how you've used them to build data pipelines. Having specific examples of projects where you’ve tackled real-world data challenges will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex data problems you've solved in the past. Think about how you approached the issue, the solutions you implemented, and the impact it had on the business. This will demonstrate your engineering judgement and ability to deliver durable solutions.
✨Understand Their Values
Redgate values trust, accountability, and collaboration. Make sure you can articulate how your personal values align with theirs. Share experiences that highlight your ability to work in a team and contribute to a positive work environment.
✨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 handle data quality. This shows your genuine interest in the role and helps you assess if it's the right fit for you.