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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.
- Other info: CAVU values diversity and encourages applicants from all backgrounds.
- Why this job: Join a dynamic team shaping the future of data in a fast-paced environment.
- Qualifications: 2-5 years in data engineering, strong PySpark and SQL skills required.
The predicted salary is between 36000 - 60000 £ per year.
CAVU is continuing its digital and data transformation, and we’re looking for a Data Engineer to help shape the next phase. You’ll be joining a centralised, expert data team that’s moving fast towards a modern, event-driven architecture. Our work underpins critical business decisions across product, commercial, and operations - and this role will have a big say in what we build next.
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. This is a brilliant opportunity for someone who’s passionate about data quality, modern engineering practices, and continuous learning.
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:
- Essential experience:
- 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
- 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.
Research shows some people are less likely to apply for a role unless they meet every single qualification. 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.
Are you ready to reach new heights? Apply via the link.
Data Engineer II employer: Mag
Contact Detail:
Mag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II
✨Tip Number 1
Familiarise yourself with CAVU's mission and values. Understanding their focus on seamless airport travel will help you align your answers during interviews, showcasing how your skills can contribute to their goals.
✨Tip Number 2
Brush up on your PySpark and SQL skills, as these are essential for the role. Consider working on personal projects or contributing to open-source projects that utilise these technologies to demonstrate your expertise.
✨Tip Number 3
Prepare to discuss your experience with ETL/ELT pipelines in Databricks. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will highlight your problem-solving abilities.
✨Tip Number 4
Since CAVU values collaboration, think of examples where you've successfully worked in a team setting. Highlight your ability to experiment with new tools and approaches, as this aligns with their innovative culture.
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. Highlight your relevant experience with PySpark, SQL, and Databricks in your application.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the job description. Emphasise your data engineering background, particularly any experience with ETL/ELT pipelines and CI/CD practices.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data quality and modern engineering practices. Mention specific projects or experiences that demonstrate your problem-solving abilities and collaborative spirit.
Showcase Continuous Learning: CAVU values continuous learning, so mention any recent courses, certifications, or self-directed learning you've undertaken related to data engineering or new tools like Databricks. This will show your commitment to growth in the field.
How to prepare for a job interview at Mag
✨Understand the Company Culture
Before your interview, take some time to research CAVU's mission and values. Understanding their focus on seamless travel experiences and innovation will help you align your answers with what they value most.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with PySpark, SQL, and Databricks in detail. Bring examples of past projects where you've built ETL/ELT pipelines, as this will demonstrate your hands-on expertise.
✨Prepare for the Take-Home Task
Since there's a small take-home task involved, make sure to allocate enough time to complete it thoroughly. Approach it as if it were a real project, showcasing your problem-solving skills and attention to detail.
✨Ask Insightful Questions
During your interviews, especially with the hiring manager, ask questions that show your interest in the role and the team. Inquire about the current data projects or challenges they face, which can also give you insight into how you can contribute.