At a Glance
- Tasks: Lead a talented team to build AI-ready data products for a global travel platform.
- Company: Join Skyscanner, a diverse and inclusive employer revolutionising travel planning.
- Benefits: Enjoy hybrid work, competitive pay, and a supportive culture focused on growth.
- Other info: Be part of a curious team dedicated to making travel easier for everyone.
- Why this job: Shape the future of travel with innovative data solutions and a passionate team.
- Qualifications: Proven leadership in data engineering and expertise in modern data technologies.
The predicted salary is between 75600 - 92400 £ per year.
Data Engineering Manager
This job is with Skyscanner, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
About Skyscanner
Everyone loves travelling, but planning is not without its challenges. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 100 million travellers count on us every month to skip the whole "47 browser tabs open" phase and find flights, cars, and hotels quickly and easily.
Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all.
Our vision? To be the world's number one travel ally. (Ambitious? Yes, but, hey, that's what got us here.)
About the role
Hybrid
This isn't just another engineering management role - it's your chance to shape the data backbone of an AI-first travel company. You'll lead a high-performing squad within Core Data, building the reliable, scalable, and (very importantly) trusted data products that power everything from experiments to real-time traveller experiences.
Think of it as part leadership, part technical strategy, part "let's make data actually useful at scale." You'll help set the pace, raise the bar, and make sure our data platforms are ready not just for today - but for where AI is taking us next.
What you'll be doing
- Leading a high-impact squad: You'll hire, coach and grow a team of talented data engineers, helping them do their best work (and enjoy doing it).
- Creating a safe, curious environment: You'll foster a culture where experimentation is encouraged, failure is a lesson, and learning never stops.
- Owning delivery and quality: You'll keep things moving - prioritising work, unblocking challenges, and ensuring high standards across everything shipped.
- Driving engineering excellence: You'll champion best practices across testing, observability, CI/CD, and performance optimisation (because smooth pipelines = happy teams).
- Building AI-ready foundations: You'll help shape data platforms that support ML and AI use cases - from reproducibility to responsible data practices.
- Shaping strategy and standards: You'll influence how data engineering is done at Skyscanner, evolving standards, tooling and ways of working.
- Collaborating across teams: You'll partner with product, analytics and data science to turn fuzzy problems into clear, impactful solutions.
About you
- Experienced leader: You've led and grown data engineering teams in product-led environments and know how to bring out the best in people.
- Technically strong: You're comfortable with modern data stacks like Databricks, Spark, Airflow, SQL and Python - and you can go deep when needed.
- Cloud-savvy: You understand distributed systems and cloud platforms, and how to make them work efficiently at scale.
- Quality-driven: You care about doing things well - from clean code to reliable pipelines and solid operational practices.
- Collaborative by nature: You work brilliantly across disciplines and know how to align teams around shared goals.
- Comfortable with ambiguity: You don't need everything perfectly defined to get started - you bring clarity where there isn't any.
- Future-focused: You're excited about AI, data innovation, and how better foundations unlock faster, smarter product development.
What it's like here
We are the real deal - no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans, building things that help travellers explore the world a little easier.
Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better - and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all.
We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident scheme, please let your recruiter know. If you'd like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these.
Data Engineering Manager in Whitehall employer: SkyScanner
As a Senior Finance Business Partner, you will thrive in a dynamic work culture that values collaboration and innovation. Our company offers competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all set in a vibrant location that fosters creativity and engagement. Join us to make a meaningful impact while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Whitehall
✨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 SkyScanner!
✨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 Data Engineering Manager at SkyScanner.
✨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 SkyScanner.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Manager at SkyScanner, 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 Data Engineering Manager in Whitehall
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 SkyScanner, 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 SkyScanner. 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 SkyScanner
✨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 SkyScanner!
✨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.
