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 processOur 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.See more about how we collect and process your personal data in our Privacy Notice.