At a Glance
- Tasks: Lead a team of Data Engineers to build a scalable data ecosystem.
- Company: Join Airalo, the world's first and largest eSIM store for travellers.
- Benefits: Enjoy remote work, generous PTO, wellness allowances, and an annual retreat.
- Other info: Be part of a curious, problem-solving team in a fully remote environment.
- Why this job: Make a real impact by turning data into strategic decisions for millions of travellers.
- Qualifications: Experience in data engineering and team leadership required.
The predicted salary is between 70000 - 90000 £ per year.
Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day.
What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat.
Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company.
Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action.
As the Data Engineering Manager, you will lead the foundational backend of our data organization. You will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem.
You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product.
Remote Data Engineering Manager in Luton employer: Airalo
Airalo is an exceptional employer that prioritises a culture of trust, ownership, and customer-centricity, making it an ideal place for those looking to make a meaningful impact in the travel industry. With the flexibility of remote work, generous paid time off, wellness and learning allowances, and unique team-building experiences like the annual Airalo Away retreat, employees are empowered to grow both personally and professionally. Join a dynamic team of curious problem-solvers dedicated to transforming data into actionable insights that enhance connectivity for millions of travellers worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineering Manager in Luton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Prepare for those interviews! Research Airalo and its mission to make travel easier for millions. Be ready to discuss how your experience aligns with their goals and how you can contribute to their data ecosystem.
✨Tip Number 3
Showcase your skills! If you’ve worked on relevant projects, be sure to highlight them during interviews. Bring examples of how you've turned data into actionable insights and how that could benefit Airalo.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Airalo team.
We think you need these skills to ace Remote Data Engineering Manager in Luton
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data shine through! We want to see how you’ve used data to drive decisions in the past and how you can bring that passion to Airalo.
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Engineering Manager role. Highlight relevant experiences and skills that align with our mission of making travel easier for millions.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role and our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Airalo
✨Know Your Data Inside Out
Make sure you’re well-versed in the data ecosystem, especially how it relates to Airalo's mission. Brush up on your knowledge of data architecture, ingestion, and orchestration. Be ready to discuss how you can enhance the current setup and what innovative solutions you can bring to the table.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll be leading a team. Prepare examples of how you've successfully managed teams in the past, particularly in remote settings. Highlight your experience in shaping hiring roadmaps and developing talent within your team.
✨Understand Cross-Functional Collaboration
Airalo values collaboration across teams. Be prepared to discuss how you’ve worked with product managers, analysts, and other stakeholders to drive data-driven decisions. Share specific instances where your insights have led to impactful changes.
✨Emphasise Problem-Solving Mindset
Airalo is looking for curious problem-solvers. Think of challenges you've faced in previous roles and how you tackled them. Be ready to discuss your approach to building scalable tools and processes that can adapt as the company grows.
