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.
Remote Data Engineering Manager in Armagh 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 a fully remote work environment, generous benefits including wellness and learning allowances, and unique opportunities for team bonding through our annual Airalo Away retreat, we foster both personal and professional growth. Join us to lead innovative data solutions that empower millions of travellers worldwide while enjoying the flexibility and support that comes with being part of our dynamic team.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineering Manager in Armagh
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those at Airalo. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your past projects and how you've turned data into impactful decisions. This will help us see your potential in action.
✨Tip Number 3
Get ready for the interview! Research Airalo’s mission and values, and think about how your experience aligns with our goals. We love candidates who are genuinely excited about what we do!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're serious about joining our team.
We think you need these skills to ace Remote Data Engineering Manager in Armagh
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Engineering Manager role. Highlight your experience in building scalable data ecosystems and managing teams, as this is what we’re looking for!
Showcase Your Impact:When detailing your past experiences, focus on the impact you’ve made. We want to see how your work has driven meaningful action and influenced decisions, so don’t hold back on those success stories!
Be Authentic:Let your personality shine through in your application. We value curiosity and problem-solving, so share examples that reflect your passion for tackling challenges and your approach to collaboration.
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 the role. Plus, it shows you’re keen on joining our team!
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, as these will be key topics during your interview.
✨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, focusing on collaboration and problem-solving. Highlight your experience in shaping hiring roadmaps and developing talent.
✨Understand the Business Impact
Airalo is all about using data to drive strategy. Be ready to discuss how your work has previously influenced business decisions and outcomes. Think about specific instances where your data insights led to meaningful actions.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in Airalo’s data strategy and future growth. Inquire about their current challenges and how they envision the data team evolving. This demonstrates your proactive mindset and genuine interest in the role.
