Analytics Engineer
Education changes lives. But tech hasn’t lived up to its promise, yet. At Kognity, we’re here to change that.
We’re a 125-person EdTech scale-up powering learning in 120+ countries. Our intelligent platform combines rich pedagogy with smart AI to help students and teachers thrive, from international schools to US high schools.
Why Kognity is the place to be:
✨ Educational Innovation – Lead the next wave of AI-powered learning solutions
🌍 Global Reach – Our platform is used in 120+ countries across international and US markets
🤝 Collaborative Culture – Join a smart, ambitious team that values impact over ego
📈 Ownership – You’ll shape the product vision, structure the org, and drive our AI-first transformation
💪 High-Performing Teams – Work with sharp, driven colleagues across product, engineering, and AI who raise the bar every day.
What you’ll do:
💾 Design, implement, and maintain scalable data models and transformations to deliver clean, reliable business-ready datasets.
⚙️ Collaborate with data engineers to integrate new data sources, automate workflows, and ensure reliable, high-performing data pipelines.
📊 Develop and maintain a semantic layer to standardize key metrics and definitions across the organization.
🧠 Implement data quality checks, testing frameworks, and governance practices to ensure accuracy and consistency.
🤝 Partner with stakeholders across teams to translate business needs into robust analytical and modeling solutions.
🚀 Continuously improve tools, processes, and architecture while staying up to date with modern analytics engineering best practices.
What we’re looking for:
🧩 Experience in analytics or data engineering with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift).
💬 Excellent communication skills with the ability to explain technical details to non-technical audiences.
🧮 Strong SQL and dbt experience, with proven skills in building and maintaining dimensional data models.
🛠️ Experience with ELT/ETL workflows, version control (Git), and data governance.
💡 Detail-oriented, self-driven, and collaborative, with a knack for spotting inefficiencies and improving processes.
🤖 A curiosity for AI and a drive to experiment with new tools to enhance creativity, decisions, and execution.
Our Interview process
Our hiring process is all about you. Show us your skills, tackle real-world challenges, and get a real feel for life at Kognity. Expect case studies, honest conversations, and plenty of chances to shine.
Discovery Call with a Recruiter: A friendly chat with a Recruiter to explore if the role is likely to be a good mutual fit.
Hiring Manager Hangout: Deep dive into the role and share your experience.
Case study: Work on solving a real-world problem.
Values Interview: Share your experiences and ways of thinking in relation to our values.
Leadership discussion: Connect with one of our leaders to talk about big ideas, bold vision, and where you could grow with us.
Our Values
🏅 We take ownership – We take initiative and act with self-leadership. We don’t wait for someone else to solve problems we see.
🤖 We leverage AI – We apply AI to enhance creativity, decisions, and execution to allow for impact maximization.
💡 We drive customer value – Success for our customers drives our progress. We create value for them in everything we do.
🗣️ We are transparent – We are radically transparent with opinions and feedback, and we share information widely.
💙 We take care of ourselves and each other – We work hard and passionately, but also prioritise our own well-being, and that of our colleagues.
Benefits
🏡 Truly Hybrid — work from our Stockholm office when you like.
💰 ITP Pension Plan with Nordnet.
💆 Yearly budget of 5,000 SEK to spend on health-related services.
🌴 30 days of paid vacation every year.
🤒 Full pay sick leave starting on day 1.
Every qualified person will be evaluated regardless of age, gender, identity, nationality, ethnicity, sexual orientation, disability status or religion. We’re committed to building a diverse, inclusive team and welcome people of all backgrounds, experiences, perspectives, and abilities.
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