At a Glance
- Tasks: Lead the design and implementation of scalable data infrastructure and ETL pipelines.
- Company: CAVU transforms airport travel, making it seamless and enjoyable for everyone.
- Benefits: Enjoy 25 days holiday, flexible work options, and a 10% company pension.
- Other info: CAVU values diversity and encourages applications from all backgrounds.
- Why this job: Make a real impact in a supportive, innovative environment focused on collaboration.
- Qualifications: Experience in Python, SQL, AWS, and leading data engineering teams required.
The predicted salary is between 43200 - 72000 £ per year.
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Remote first (Manchester Airport HQ), Full-time, Permanent
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.
From our revenue-accelerating single platform technology, Propel, through to our world-class hospitality venues including 1903 and Escape Lounges – our solutions make travel more seamless and enjoyable for passengers, and more profitable for our clients and partners.
We know that to bring your best ideas, you need the space to think, the right support, and the freedom to be your true, authentic self.
Whether you’re working from our offices, from home, in a lounge, or out on the road, we provide the environment to create, innovate, and transform airport travel.
If you’re looking for a career where you can make a real impact, bring new ideas to life, and push boundaries, then CAVU is the place for you.
Together, we can reach new heights. Together, we are CAVU.
The role
We’re looking for a Lead Data Engineer to join our growing tech team. In this senior technical role, you’ll lead the design and implementation of scalable data infrastructure and robust ETL pipelines to enable data-driven decision-making across the business.
Working closely with analysts, data scientists, and stakeholders across the business, you’ll ensure we extract maximum value from our data assets. You’ll be at the heart of our mission to make our global single platform the best in the market – a tech-first, scalable solution that’s already transforming travel.
This is a hands-on, delivery-focused leadership role—perfect for someone who thrives on innovation, collaboration, and making things happen. Projects range from client integrations and data warehousing to machine learning and real-time reporting. If you’re excited about building systems from the ground up in a supportive, forward-thinking environment, this is your opportunity
About You
You\'re an experienced data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness.
You’ll Also Bring
- Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments.
- The ability to manage and mentor a team of data engineers, driving standards and continuous improvement.
- Expertise in working with distributed systems and large datasets.
- A strong understanding of data governance, privacy, and security.
- An eagerness to work collaboratively across disciplines and solve real-world business problems with data.
- Experience in machine learning environments, supporting analysts using Python or R would also be good.
- 25 Days Holiday, increasing 1 day per year with service (up to 28)
- Option to buy up to 10 extra days annual leave + 4 flexible bank holidays
- 10% Company Pension
- Annual Bonus Scheme
- On-site Gym (where applicable)
- MediCash Scheme
- Flexible Benefits & Discounts – including up to 50% off CAVU products like Escape Lounges and Airport Parking
- Rail and retail discounts
- 2 paid volunteering days per year
- Access to regular internal health, wellbeing, and ID&E events
- Formal and informal development opportunities, including mentoring and learning grants
- Enhanced parental leave (T&Cs apply)
At CAVU, inclusion, diversity, and equity (ID&E) are fundamental. We want everyone to feel they belong here. We’re proud to be an equal opportunities employer and encourage applications from all backgrounds and walks of life.
Research shows that women and underrepresented groups are less likely to apply for roles unless they meet 100% of the criteria. If this role excites you but you’re not sure you tick every box—please apply anyway.
We’re also committed to supporting candidates with disabilities or access requirements. Let us know if you need adjustments at any stage.
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#J-18808-LjbffrLead Data Engineer (Manchester, GB) employer: Parking
CAVU is an exceptional employer that fosters a culture of innovation and collaboration, providing employees with the freedom to think creatively and make a real impact in the travel industry. With a remote-first approach and a Manchester Airport HQ, team members enjoy flexible working arrangements, comprehensive benefits including generous holiday allowances, and opportunities for personal and professional growth. Join us to be part of a forward-thinking team dedicated to transforming airport travel experiences while supporting your well-being and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer (Manchester, GB)
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We think you need these skills to ace Lead Data Engineer (Manchester, GB)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Parking. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Parking!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
