Please note this position has two working model options: hybrid if you are in London (one a week work-from-office), or remote in Europe. For other regions, please check other opportunities in our career site.

About Noon

Noon's mission is to radically change the way people learn, with a primary focus on the Middle East, where the company has its roots and where the need and urgency to improve education are highest.

We have taught over 12 million students successfully with our remote learning products. Our next big challenge is to build a network of schools, supported by top teachers and driven by technology and innovation, to positively impact even more lives.

Why work at Noon?

• The opportunity to have a real impact on millions of students.

• A strong leadership and engineering team to learn from.

• A solid runway: we recently closed our Series B and have substantial recurring revenue.

About the role

We’re looking for a Senior Data Analytics Engineer to join our data & analytics team and help build the data foundations that power decision-making across the company.

In this role, you’ll own the curated datasets, metric definitions, and data models that act as the company’s single source of truth. Your work will ensure that analysts, product managers, and leadership can trust the numbers they rely on every day.

You’ll collaborate closely with engineers, analysts, product managers, and operations teams to improve how data is structured, validated, and accessed. A key part of the role is making our data systems scalable and reliable so teams can move faster with confidence.

This position offers flexibility with a hybrid/fully remote work setup while still collaborating closely with cross-functional teams.

What you’ll do

• Build the company’s single source of truth: Design and maintain curated datasets and data models that power reporting, dashboards, and analysis across the business.

• Define and standardize key metrics: Work with stakeholders to ensure important business metrics are clearly defined, consistent, and trusted across teams.

• Improve data reliability: Implement validation checks, monitoring, and processes that prevent data issues and quickly detect anomalies.

• Lead cross-functional data projects: Take ownership of high-impact initiatives from problem definition through delivery, aligning with product, engineering, and operations teams along the way.

• Investigate and resolve data issues: Diagnose discrepancies in metrics, identify root causes, and work with engineers and analysts to implement long-term fixes.

• Enable better self-serve analytics: Improve documentation, dataset structure, and discoverability so teams can explore and answer their own questions confidently.

• Support our AI data tools: Help ensure our internal AI data analyst produces accurate answers by grounding it in trusted datasets and consistent metric definitions.

• Mentor and support the data team: Share best practices with analysts and help raise the overall quality and reliability of our analytics work.

What We’re Looking For:

• Strong SQL, Python and data modelling skills: You’re highly proficient in SQL and comfortable using Python and designing datasets that are reliable, scalable, and easy for others to use.

• Experience building reliable data systems: You’ve worked with production datasets or pipelines and understand how to monitor, validate, and maintain them (e.g., Python, Airflow, AWS).

• Cross-functional mindset: You’re comfortable collaborating with product managers, engineers, analysts, and business stakeholders.

• Strong problem-solving ability: You enjoy digging into messy data problems, figuring out why numbers don’t match, and understanding what each metric truly represents.

• Clear communicator: You can explain data logic and metric definitions in ways that make sense to both technical and non-technical audiences.

• Ownership and pragmatism: You exercise good judgment, balancing speed and accuracy while focusing on solutions that are both reliable and practical.

• Bonus points if you:

  • Have experience working with AI-driven analytics tools or assistants.

  • Experience building pipelines that integrate internal data with AI systems.

  • Experience working with both frontend and backend events.

About Diversity & Inclusion

We understand that everyone has a unique set of skills and experiences. If you’re passionate about making a real positive impact through education, even if you don’t meet all the requirements above, we encourage you to apply.

At Noon, we respect and value differences. We know that when people from different backgrounds and with different points of view work together, we create the most value – for our clients, our people, and society. We’re so lucky to live in a society where differences are celebrated, so we’d expect nothing less from our teams. That means whatever your race, religion, sexual orientation, or gender, this is a place to feel at home, express yourself freely, and make your mark. Noon is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of age, disability, gender identity, marital status, race, colour, ethnicity, religion, sex, national origin, or sexual orientation. We aim to be truly representative of the world and for each and every employee to feel respected.

We're building a new operating system for learning. If you're a builder who wants to solve hard problems in education—and create something students talk about 10 years later—we want to talk to you.

Department

Engineering

Locations

London

Remote status

Hybrid