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- Tasks: Design and build scalable data pipelines using PySpark, SQL, and Databricks.
- Company: CAVU transforms airport travel, making it seamless and enjoyable for everyone.
- Benefits: Enjoy 25 days holiday, flexible bank holidays, gym access, and discounts on CAVU products.
- Why this job: Join a dynamic team driving digital transformation and make a real impact in the travel industry.
- Qualifications: 2-5 years in data engineering, strong PySpark and SQL skills, and experience with ETL/ELT pipelines.
- Other info: We value diversity and encourage all backgrounds to apply, even if you don't meet every qualification.
The predicted salary is between 36000 - 60000 £ per year.
Location: Manchester (Hybrid)
Department: Data
Reports To: Lead Data Engineer
About CAVU
For airports, for partners, for people. We are CAVU. At CAVU our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody. From the smallest ideas to the biggest changes, every day here is about creating better travel experiences. Our solutions make travel more seamless and enjoyable for passengers, and more profitable for our clients and partners.
What’s the role?
CAVU is continuing its digital and data transformation, and we’re looking for a Data Engineer to help shape the next phase. You will be joining a centralised, expert data team that’s moving fast towards a modern, event-driven architecture. You’ll be responsible for designing and building robust, scalable data pipelines using PySpark, SQL and Databricks — enabling our analytics, BI and data science colleagues to unlock real value across the business.
About You
You’re a problem-solver who enjoys working collaboratively and is comfortable experimenting with new tools and approaches. You have a strong foundation in data engineering and are ready to grow your expertise further — especially with tools like Databricks. Here’s what will help you thrive in this role:
- 2–5 years in data engineering or a related field
- Strong PySpark and advanced SQL skills
- Practical experience building and maintaining ETL/ELT pipelines in Databricks
- Familiarity with CI/CD pipelines and version control practices
Nice to have:
- Experience using Databricks Asset Bundles (DAB)
- Working knowledge of GCP and/or Azure in multi-cloud environments
- Familiarity with BigQuery or deployment automation tools like Harness
If you don’t tick every box but feel you could be a great fit, we’d still love to hear from you.
The Perks
- 25 days holiday (plus the option to buy up to 10 more), increasing with service
- 4 flexible bank holidays
- 10% Company Pension
- Annual Bonus Scheme
- On-site Gym
- MediCash Scheme
- Up to 50% off CAVU products including Escape Lounges and Airport Parking
- Retail and rail discounts
- 2 paid volunteering days per year
- Regular wellbeing and ID&E events
- Learning grants and mentoring programme
- Enhanced parental leave (T&Cs apply)
The Interview Process:
- Recruiter Screen – A 15-minute conversation to explore your experience, aspirations, and questions.
- 30 Minute teams call with the hiring manager
- Small take home task
- Final interview to talk through task
ID&E at CAVU
At CAVU, Inclusion, Diversity & Equity are central to who we are. We are proud to be an equal opportunities employer, and we encourage applications from all backgrounds and communities. If this sounds like you — and you’re excited by what we’re doing — please still apply. We’re also happy to make reasonable adjustments to support individuals with disabilities through the recruitment process.
Contact Detail:
MAG (Airports Group) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, especially PySpark and Databricks. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with current or former employees of CAVU on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific challenges they face, which you can address during your interview.
✨Tip Number 3
Prepare for the technical aspects of the interview by brushing up on your SQL and data pipeline building skills. You might want to practice common data engineering problems and scenarios that could come up during the technical interview.
✨Tip Number 4
Show your enthusiasm for continuous learning and innovation. Be ready to discuss any recent trends in data engineering or new tools you've explored, as this aligns with CAVU's focus on modern engineering practices.
We think you need these skills to ace Data Engineer II
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer II position at CAVU. Tailor your application to highlight how your skills in PySpark, SQL, and data pipeline management align with their needs.
Craft a Tailored CV: Your CV should reflect your experience in data engineering, particularly focusing on your proficiency with tools like Databricks and your experience with ETL/ELT pipelines. Use specific examples to demonstrate your problem-solving abilities and collaborative work style.
Write a Compelling Cover Letter: In your cover letter, express your passion for data quality and modern engineering practices. Mention why you are excited about the opportunity at CAVU and how you can contribute to their mission of enhancing airport travel experiences.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at MAG (Airports Group)
✨Showcase Your Technical Skills
Be prepared to discuss your experience with PySpark, SQL, and Databricks in detail. Highlight specific projects where you've built or maintained ETL/ELT pipelines, as this will demonstrate your hands-on expertise.
✨Understand CAVU's Mission
Familiarise yourself with CAVU's purpose and how they aim to enhance airport travel. This knowledge will help you align your answers with their goals and show that you're genuinely interested in contributing to their mission.
✨Prepare for the Take-Home Task
The take-home task is a crucial part of the interview process. Make sure to allocate enough time to complete it thoroughly. Focus on demonstrating your problem-solving skills and attention to data quality.
✨Emphasise Collaboration and Learning
CAVU values teamwork and continuous learning. Be ready to share examples of how you've worked collaboratively in the past and how you approach learning new tools and technologies, especially in data engineering.
