Senior Analytics Engineer

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it.Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds.A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits.And now, we're on a quest to find our Senior Analytics Engineer, someone as passionate as we are about making the world a happier place and enriching lives through the world of reading.Let us tell you about the role 📖As a Senior Analytics Engineer at Nextory, you’ll help bring the power of data to life. Your mission is to transform business needs into reliable and value-creating data assets that fuel smart decisions. You’ll be part of our Central Data Team ,together with data scientist/analyst, working very closely with stakeholders across the organization to turn complex requirements into structured, trustworthy and insight-ready data models. By building our next-generation data platform, you’ll push the boundaries of what great analytics engineering looks like at scale.In this role, you will:Collaborate with stakeholders to define and translate analytics and data requirements into actionable solutions.Map and analyze business processes to ensure data models and transformations reflect accurate, value-aligned logic.Design and implement scalable SQL-based data models and pipelines across DAS, DAB, and DAR, while maintaining and evolving the Dataform transformation layer.Ensure data quality through large-scale SQL validation, monitoring, troubleshooting, and continuous improvements.Maintain YAML-based data contracts, support product teams with ingestion pipelines, and manage the semantic layer and BI tooling ecosystem.The main character we’re looking for 👀We believe that you are a solution-oriented analytics professional with a strong understanding of how business processes shape real value. You’re driven by turning complex requirements into clean, reliable and well-structured data models. Collaboration comes naturally to you, both within the team and in partnerships with stakeholders across the organization.You communicate fluently in English and hold a relevant educational background within data, engineering, or analytics, or have gained equivalent experience through your work.Furthermore, we believe you have:5+ years of experience working with SQL-first data engineering in a cloud environment, ideally across different data stacks.Very strong SQL skills and hands-on experience designing scalable transformations and pipelines.Proven experience with at least one physical data modeling technique (e.g., Kimball, Data Vault, Anchor, Focal) and a curiosity to deepen your knowledge.A solid understanding of layered data architecture (raw → semantic → consumption) and why clear separation improves resilience when source systems changeExperience with, or a strong willingness to learn, schema-as-code approaches where documentation and implementation are one and the same.The Nextory way of working 🏠At Nextory, we believe a strong and inclusive culture is key to our success - and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office!We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day.Your next story starts here 💫We look forward to your application - let’s create a world where stories are always within reach, one word at a time. Applications are reviewed continuously. If you have any questions about the role, please contact erika.thorslund@nextory.comPlease note that we do not offer relocation and that a six-month probationary period applies.