At a Glance
- Tasks: Design and develop data pipelines to transform aviation data into actionable insights.
- Company: RDC Aviation, a leader in aviation data and analytics solutions.
- Benefits: Flexible hybrid working, private healthcare, 25 days holiday, and team events.
- Other info: Opportunity for career growth and influence in a collaborative environment.
- Why this job: Join a dynamic team and shape the future of data engineering in aviation.
- Qualifications: Experience with Snowflake, SQL, and data pipeline development.
The predicted salary is between 50000 - 65000 £ per year.
RDC Aviation is a leading provider of aviation data, analytics and software solutions. We empower airlines, airports, and financial institutions with actionable insights through our innovative data platforms and APIs. Our mission is to simplify complex aviation data and deliver it in ways that drive smarter decisions.
This role is first and foremost about people. We're looking for someone with the experience, personality and credibility to create and embed a data engineering function in RDC. Someone who gets as much satisfaction from helping a colleague work through a difficult problem as they do from writing great pipelines and transformations themselves. You'll be joining a skilled and committed team of aviation and data experts, bringing your own experience to help us raise our standards, strengthen our data engineering practices and grow together. This is a hands‑on role with real influence over how we build – and one that will evolve with the business, offering increasing scope for the right person. Strong technical credentials matter, but it is your ability to inspire and develop those around you that will define success here.
What You'll Be Doing
- Designing, developing, and maintaining ELT/ETL pipelines using Snowflake, dbt, and SQL to transform raw aviation data into analytics‑ready datasets.
- Building and optimising Snowflake objects including stages, tasks, stored procedures, dynamic tables, and streams.
- Identifying cost optimisation within warehouse use and query structures.
- Implementing data quality frameworks, monitoring, and alerting across bronze, silver, and gold data layers.
- Collaborating with product, data, and commercial teams to translate business requirements into scalable data models.
- Managing cloud storage integrations including Azure Blob and GCS and orchestrating automated ingestion workflows.
- Maintaining documentation, version control using Git, and CI/CD processes for all data assets.
- Playing an active role in future hiring decisions as the team grows.
What We're Looking For
We don't expect anyone to tick every box here. If you have core data engineering experience on Snowflake and most of the technical background, we'd love to hear from you.
- Strong proficiency in SQL including complex joins, window functions, CTEs, and performance tuning.
- Hands‑on experience with Snowflake including tasks, stages, RBAC, warehouses, and resource monitors.
- Working knowledge of dbt including models, tests, sources, documentation, and packages.
- Experience building and maintaining production‑grade data pipelines in a cloud environment.
- Familiarity with at least one scripting language, with Python preferred, for data processing tasks.
- Understanding of medallion architecture patterns.
- An effective communicator who can work cross‑functionally with technical and non‑technical stakeholders.
Other Useful Experience
- Experience with Azure services including Blob Storage, Data Factory, and DevOps.
- Familiarity with BI tools such as Sigma Computing and Power BI, including DAX and Power Query.
- Domain knowledge of aviation data such as schedules, fleet, financial, or operational datasets.
- Experience with CI/CD for data using tools such as dbt Cloud, GitHub Actions, or Azure Pipelines.
- Knowledge of data governance, cataloguing, and metadata management practices.
What's in It for You
A chance to be a founding driver of our data engineering function at an exciting point in its journey. The prospect of helping to build and grow the team as the business scales over the coming years. Real input into data engineering standards, tooling, culture, and future hiring decisions. Products that matter, used by some of the biggest names in aviation.
We also offer a benefits package designed with flexibility and wellbeing in mind:
- Hybrid working with flexibility built in.
- Private healthcare (on completion of probation).
- 25 days holiday plus bank holidays and a day off on your birthday.
- Auto enrolment pension scheme.
- Charity donation scheme.
- Work‑from‑anywhere week.
- Regular team events, a summer activities day and Christmas party.
Data Engineer in Nottingham employer: RDC Aviation Ltd
RDC Aviation is an exceptional employer, offering a unique opportunity for Data Engineers to shape the future of our data engineering function in a dynamic and supportive environment. With a strong focus on employee growth, we provide flexible hybrid working arrangements, comprehensive benefits including private healthcare, and a culture that values collaboration and innovation. Join us to make a meaningful impact in the aviation industry while enjoying a fulfilling work-life balance and engaging team activities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Nottingham
✨Network Like a Pro
Get out there and connect with people in the aviation and data engineering space. Attend meetups, webinars, or industry events to meet potential colleagues and learn about job openings that might not be advertised yet.
✨Show Off Your Skills
When you get the chance, demonstrate your technical skills in real-time. Whether it's through coding challenges or live demos, showing what you can do with SQL, Snowflake, or dbt can really set you apart from the crowd.
✨Ask Questions
During interviews, don’t just wait for them to ask you questions. Show your interest by asking insightful questions about their data practices, team culture, and future projects. This shows you're genuinely interested in the role and the company.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and really want to be part of our team at RDC Aviation.
We think you need these skills to ace Data Engineer in Nottingham
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data engineering shine through! We want to see how much you love transforming raw data into actionable insights, just like we do at RDC Aviation.
Tailor Your Experience:Make sure to highlight your relevant experience with Snowflake, SQL, and dbt. We’re looking for specific examples of how you've tackled challenges in data engineering, so don’t hold back on the details!
Be Personable:Remember, this role is about people too! Share a bit about how you’ve collaborated with others in the past. We value effective communication and teamwork, so show us how you can inspire and support your colleagues.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to get your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at RDC Aviation Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills, especially complex joins and performance tuning. Familiarise yourself with Snowflake and dbt, as these are crucial for the role. Be ready to discuss your past experiences with these technologies and how you've used them to solve real-world problems.
✨Showcase Your People Skills
Since this role is all about collaboration, be prepared to share examples of how you've worked with cross-functional teams. Highlight instances where you've helped colleagues overcome challenges or contributed to team success. This will demonstrate that you can inspire and develop those around you.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific data engineering challenges, like optimising a pipeline or ensuring data quality. Think through your approach to these scenarios in advance, and be ready to explain your thought process clearly and logically.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data engineering practices or future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values and career goals.
