At a Glance
- Tasks: Lead a team to design and build scalable data solutions for seamless airport travel.
- Company: CAVU, transforming airport experiences with innovative technology.
- Benefits: 25 days holiday, flexible benefits, annual bonus, and on-site gym.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
- Why this job: Join a dynamic team and influence the future of airport travel technology.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and leadership abilities.
The predicted salary is between 63000 - 77000 £ per year.
- CAVU
- Summary
- Lead Data Engineer
- Hybrid (2 days per week in the office)
- 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 transformations.
Every day is an opportunity to create 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 smoother 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 support to grow, and the freedom to be your authentic self.
Whether you're working from our offices, from home, in our lounges, or on the road, we provide an environment where you can create, innovate, and help transform airport travel.
Together, we can reach new heights. Together, we are Cavu.
The role
We're looking for an experienced Lead Data Engineer to play a key role in shaping and evolving Cavu's data platform, enabling data-driven decision making across our products and business.
Leading a small team of Data Engineers, you'll combine hands‑on technical expertise with technical leadership, mentoring colleagues while designing and delivering scalable data solutions that support analytics, machine learning and real‑time reporting.
Working closely with Data Scientists, Analysts and stakeholders across Technology and the wider business, you'll develop modern cloud‑based data platforms, build robust ETL pipelines and champion best practice in data engineering, governance and architecture.
This is an exciting opportunity to join a growing team building a globally unique platform using modern technologies, where you'll have genuine influence over technical direction and help solve complex commercial and customer challenges.
- Key Responsiblities
- Lead, mentor and develop a team of Data Engineers, fostering a collaborative and high‑performing culture.
- Design, build and maintain scalable data pipelines and ETL processes to support business‑critical data solutions.
- Partner with Data Scientists, Analysts and business stakeholders to translate business requirements into robust technical solutions.
- Drive data quality by implementing validation, monitoring and governance best practice.
- Optimise the performance of databases, data warehouses and data lakes to support growing business demands.
- Evaluate and implement modern data technologies, tools and frameworks to enhance data processing and analytics capabilities.
- Define and promote data governance, privacy and security standards across the data platform.
- Work closely with Infrastructure and Operations teams to deploy, maintain and support cloud‑based data solutions.
- Provide technical expertise when troubleshooting complex data issues and continuously improve engineering standards across the team.
- What we need from you
- Previous experience as a Lead or Senior Data Engineer, with experience leading engineering projects or mentoring technical teams.
- Strong experience designing, building and maintaining ETL pipelines, data warehouses and scalable data platforms.
- Expert Python and SQL skills, with experience working with large datasets and distributed systems.
- Hands‑on experience with AWS services, including Redshift, Lambda, EC2, Kinesis and Batch.
- Experience working with relational and No SQL databases, alongside strong data modelling skills.
- A solid understanding of data governance, data quality and data security principles.
- Excellent stakeholder management, communication and problem‑solving skills, with the ability to translate commercial requirements into technical solutions.
- A naturally curious, collaborative mindset with a passion for continuous improvement and modern data engineering practices.
- What is in it for you
- 25 days holiday, increasing with service (up to 28)
- Option to buy up to 10 extra days + 4 flexible bank holidays
- 10% company pension
- Annual bonus scheme
- On‑site gym
- Medi Cash scheme
- A range of flexible benefits and discounts, including up to 50% off Cavu products such as Escape Lounges and Airport Parking
- Rail and retail discounts
- 2 paid volunteering days per year
- Access to health & wellbeing events, ID&E activities and learning opportunities
- Formal and informal development options, including mentoring programmes and learning grants
- Enhanced parental leave (T&Cs apply)
- Equal Opportunties and Reasonable Adjustments
- We're building something brilliant at
Cavu: a diverse team of people who reflect the global customer base we serve.
We're proudly part of MAG, and together we're on a mission to be number one in our industries — and that takes talent in all its forms.
Whether this is your first role or your next big step, we want to hear from you, even if you don't think you tick every box. What matters most is what you bring.
We're proud to be a Disability Confident employer.
If you need any adjustments to support your application or interview, just let us know — we're committed to helping you perform at your best.
Our Colleague Communities play a big part in that journey, including Women's Network, Embrace (Race & Ethnicity), Fly with Pride (LGBTQIA+), Mind Matters (Mental Health), PACT (Parents & Carers), Respect ABILITY (Disability & Neurodiversity), and the Cavu Global ID&E Affinity Group
- CAVU
- #J-18808-Ljbffr
Lead Data Engineer in Manchester employer: 慨正橡扯
At Third Bridge, we are not just offering a job; we are providing a career launchpad in a vibrant and fast-paced environment. With a strong focus on employee growth, our Client Services Associate role allows you to develop essential skills while working with top-tier clients, all within a supportive culture that values work-life balance and personal development. Join us to accelerate your career and enjoy comprehensive benefits, including generous vacation days and the flexibility to work from anywhere for a month each year.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like 慨正橡扯!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at 慨正橡扯.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like 慨正橡扯.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at 慨正橡扯, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Engineer in Manchester
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at 慨正橡扯, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 慨正橡扯. 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!
How to prepare for a job interview at 慨正橡扯
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 慨正橡扯!
✨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.