Analytics Engineer

Kognity AB

Stockholm, Stockholms län
Vanlig anställning - Heltid - Tills vidare
Fast månads- vecko- eller timlön
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About this role

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 organization, 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 prioritize 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.
Mjukvaruutvecklare Data/IT
Posted 25 Nov 2025 • 0 views

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