At a Glance
- Tasks: Design and deliver data pipelines that power analytics and AI across the business.
- Company: Join a forward-thinking tech company in Cambridge with a focus on data quality.
- Benefits: Competitive salary, flexible in-office schedule, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to innovation and data excellence.
- 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
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
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: hackajob
Redgate is an exceptional employer located in the vibrant city of Cambridge, offering a collaborative work culture that prioritises innovation and data quality. Employees benefit from a modern data stack, opportunities for professional growth, and the chance to tackle complex data challenges while contributing to impactful projects across various business sectors. With a commitment to equal opportunity and a focus on employee development, Redgate provides a rewarding environment for those looking to advance their careers in data engineering.
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 folks in the industry, attend meetups, and connect with current employees at Redgate. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Databricks, SQL, and Python. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on real-world data challenges. Think about how you’d tackle issues related to data quality and integration, as these are key in the role of a Data Engineer.
✨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, it shows you’re genuinely interested in joining our 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 highlights your experience as a Data Engineer, especially with Databricks and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for data engineering and how you’ve tackled real-world data challenges in the past. Keep it engaging and personal!
Showcase Your Technical Skills:We love seeing practical examples of your work! If you’ve built data pipelines using Python or PySpark, mention specific projects or outcomes. This helps us understand your hands-on experience and problem-solving abilities.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at hackajob
✨Know Your Data Stack
Familiarise yourself with the modern data stack mentioned in the job description. Brush up on your knowledge of 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 data modelling, performance, and cost. This will demonstrate your ability to deliver reliable solutions that stand up to real usage.
✨Understand Data Quality and Standards
Research best practices in data engineering, especially around reliability, testing, and observability. Be prepared to discuss how you can contribute to shaping data engineering standards and practices at Redgate, ensuring high-quality data products.
✨Be Ready for Technical Questions
Expect technical questions related to data pipelines, source control solutions like GitHub, and methodologies such as Git Flow. Practice explaining your thought process clearly and concisely, as this will showcase your expertise and communication skills.
