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For Companies At a Glance
- Tasks: Design and maintain data models, ensuring high-quality data access and collaboration across teams.
- Company: Join Airalo, the world's first eSIM store, revolutionising global connectivity.
- Benefits: Enjoy health insurance, remote work perks, wellness credits, and an annual company retreat.
- Why this job: Make a real impact in travel-tech while working with a diverse, global team.
- Qualifications: 5+ years in analytics engineering, strong SQL skills, and experience with dbt and cloud platforms.
- Other info: Embrace a remote-first culture with excellent growth opportunities in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
About Airalo
Airalo is the world’s first eSIM store that helps people connect in over 200+ countries and regions across the globe. We are building the next digital service that revolutionises the telecom industry. We are a travel-tech company and an equal-opportunity environment that values and executes diversity, inclusion, and equity. Our team is spread across 50+ countries and six continents. What glues us together is our commitment to changing the way you connect.
About you
We hope that you care deeply about the quality of your work, the intrinsic worth of tasks, and the success of your team. You are self-disciplined and do not require micromanagement in terms of your skillset and work ethic. You do your best to flourish as an individual every day while working hard to foster a collaborative team environment. You believe in the importance of being — and staying — authentic, honest, positive, and kind. You are a good interlocutor with clear and concise communication. You are able to manage multiple projects, have an analytical mind, pay keen attention to detail, and love to get your hands dirty. You are cognizant, tolerant, and welcoming of vulnerabilities and cultural differences.
About the Role
- Position: Full-time / Employee
- Location: Remote-first
- Benefits: Health Insurance, work-from-anywhere stipend, annual wellness & learning credits, annual all-expenses-paid company retreat in a gorgeous destination & other benefits
What You’ll Do
- Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic.
- Own the semantic layer and metrics definitions for one or more of our core domains, ensuring consistency and high-quality data access across LightDash and other downstream tools.
- Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting.
- Implement robust testing, documentation, and monitoring practice—you’ll be a steward of data quality and governance across the platform.
- Collaborate closely with product, marketing, and commercial analysts to translate complex business questions into scalable, production-ready data artifacts.
- Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build.
- Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches.
Must Have
- Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or similar).
- 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities.
- Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models.
- Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation.
- Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar).
- Experience working with modern BI platforms and semantic layers—LightDash experience is a strong plus.
- Experience with self-service analytics.
- Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products.
- Strong communication skills, with the ability to explain complex data concepts to diverse audiences.
- Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production.
Nice to Have
- Experience in marketplace, telecom, or travel/mobility businesses.
- Background in B2C product companies with high-volume event data.
- Experience building analytics engineering capabilities in low-maturity data environments.
- Previous experience at a scale-up that went through hypergrowth.
- Experience defining and governing company-wide KPIs and metric frameworks.
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy.
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
Senior Analytics Engineer employer: Airalo
Contact Detail:
Airalo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Airalo on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to discuss your past projects and how you've tackled complex data challenges. Show us your analytical mind in action!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! Being a good communicator and a team player is key at Airalo. Share examples of how you've collaborated with others to achieve great results.
✨Tip Number 4
Apply through our website for a smoother process! It shows you're genuinely interested in joining our team. Plus, it helps us keep track of your application better. Let's get you on board!
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see that you genuinely care about the work you'll be doing and how it contributes to our mission at Airalo.
Tailor Your Experience: Make sure to highlight your relevant experience in analytics engineering and data modelling. We love seeing how your skills align with what we’re looking for, so don’t hold back on showcasing your achievements!
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward. Use bullet points where possible and avoid jargon unless it’s necessary. This helps us understand your qualifications quickly and easily.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It streamlines the process for us and ensures your application gets the attention it deserves!
How to prepare for a job interview at Airalo
✨Know Your Data Models
Make sure you’re well-versed in data modelling concepts, especially with dbt. Be ready to discuss your past experiences designing scalable models and how they align with business logic. This will show that you understand the core of what Airalo is looking for.
✨Showcase Your Collaboration Skills
Airalo values teamwork, so be prepared to share examples of how you've worked with analysts and engineers in the past. Highlight any projects where you translated complex business questions into actionable data insights, demonstrating your ability to communicate effectively across teams.
✨Demonstrate Your Problem-Solving Mindset
As a proactive self-starter, you should come equipped with examples of ambiguous problems you've tackled. Discuss your approach to finding solutions and how you took ownership from concept to production, which aligns perfectly with Airalo's expectations.
✨Emphasise Your Cultural Awareness
With a team spread across 50+ countries, cultural sensitivity is key. Share experiences that showcase your ability to work in diverse environments and how you’ve embraced different perspectives. This will resonate well with Airalo’s commitment to diversity and inclusion.
