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Data Engineer

Udemy

Istanbul, Turkey permanent

Posted: November 28, 2025

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Job Description

Join Udemy. Help define the future of learning.

Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home.

Learn more about us on our company page.

Where we Work

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

About your skills


Data Modeling: You understand dimensional modeling concepts and can design scalable, well-structured data models that support analytics needs.


SQL Expertise: You write efficient, production-grade SQL and are comfortable optimizing queries for performance.


Influencing: You build strong relationships across teams, co-design solutions with stakeholders, and strategically align others to move work forward.


Decision Making: You apply critical thinking to uncover the root cause of problems, evaluate multiple perspectives, and clearly communicate decisions to ensure alignment.


Technical Skills: Knowledge of Python or programming languages and familiarity of modern data tools are a plus.

About this role

As an Analytics Engineer at Udemy, you’ll transform raw data into trusted, scalable datasets that power analytics and decision-making across the company. You’ll collaborate closely with business, product, and engineering teams to deliver high-quality data models and pipelines that improve the accessibility and reliability of Udemy’s data ecosystem. This is a hands-on role with strong impact, giving you the opportunity to learn, grow, and directly contribute to Udemy’s mission.

What you’ll be doing


Designing and developing data models that support analytics and reporting needs.


Building and maintaining scalable data pipelines using modern tools such as dbt and Databricks.


Collaborating with stakeholders to understand business requirements and translate them into data solutions.


Ensuring high data quality, reliability, and accuracy through validation, testing, and monitoring.


Documenting data models and processes to make datasets accessible and user-friendly.


Troubleshooting and debugging data issues to maintain seamless analytics capabilities.

What you’ll have


2+ years of experience in data engineering, analytics, business intelligence, data infrastructure, or a related field.


Strong SQL skills and experience building production-ready datasets.


Familiarity with modern data stack tools (dbt, Databricks, or BigQuery preferred).


Understanding of data modeling concepts, dimensional design, and best practices.


Experience designing or maintaining data pipelines with reliability and scalability in mind.


Ability to translate business requirements into robust, well-documented data solutions.


Strong communication and collaboration skills to work effectively with cross-functional teams.


A proactive, problem-solving mindset with eagerness to learn and grow.


Curiosity and adaptability to stay current on new tools, methods, and industry trends.

Application deadline 10/29/2025

Why work here?

You’ll grow here.
Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.

AI is real here.
We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways.

You’ll own your work.
We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact.

You’ll build with others.
We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.

You’ll see your impact.
What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs?

Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together.

Our Benefits Start with U

Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits & US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.

Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.

At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!

Information regarding data privacy is available within the Udemy Careers Privacy Notice.

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