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 are looking for a Junior Data Engineer to join our team and grow with us. You do not need years of work experience, we care more about your mindset, technical foundation and eagerness to learn. Let us tell you about the role 📖 As a Junior Data Engineer, you’ll be a part of our central data team and collaborate closely with both technical teams and business stakeholders to build and improve our data platform. You’ll play an important role in building the data foundations behind modern AI products and intelligent agents while exploring how AI systems interact with and make use of data in real-world applications. In this role, you’ll also Support data ingestion and pipeline maintenance using tools such as Airbyte and Dataform Write and maintain basic SQL transformations, data models, and data quality checks Help structure and document data models, metrics, and business definitions Support the development of the semantic layer in Omni Investigate data issues and help ensure data is accurate, reliable, and easy to use Your story so far 👀 We are looking for someone who is structured and takes ownership of their work. We believe you are self-driven, communicative and comfortable collaborating with both technical teams and stakeholders. You value quality, enjoy learning and understand the importance of strong foundations when building scalable and reliable data solutions. Furthermore, we believe you have: A degree or recently completed studies in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field Some knowledge of SQL Basic programming experience, preferably in Python An interest in databases, data modeling, analytics, and modern data platforms Curiosity about semantic layers, metrics, information modeling, and AI-driven data solutions You might have experience with some of the following areas, but don’t worry if you don’t, we’re more interested in your overall potential and willingness to learn. School projects, internships, thesis work, or personal projects involving data Data modeling concepts such as facts, dimensions, entities, relationships, or star schema Tools such as Omni, dbt, LookML, Cube, BigQuery, Snowflake, Airflow, or similar Git or other version control tools BI tools such as Looker, Tableau, Power BI, or simila 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. Please submit your grades and CV when you apply. Applications are reviewed continuously and if you have any questions about the role, contact Erika Thorslund, [email protected]. Please note that we do not offer relocation and that a six-month probationary period applies.

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 a Product Engineer.  Let us tell you about the role 📖 As a Product Engineer at Nextory, you will be involved throughout the entire product development journey - from early ideas and problem discovery to implementation, launch, and continuous improvement. We’re shifting from traditional development roles towards engineers who take ownership, think holistically, and contribute far beyond writing code. We believe that the future of software engineering is more about authoring intent than writing lines of code. You will work across the stack with a focus on backend development, distributed systems, integrations, and scalable architecture. Just as importantly, you’ll collaborate closely with relevant stakeholders to shape solutions that create real value for our users. The main character we’re looking for 👀 We believe you are a curious and product-minded engineer who enjoys solving complex problems and building scalable, high-quality systems. You thrive in collaborative environments and are just as comfortable collaborating with humans as you are working alongside AI-powered tools, agents and workflows to scale your own impact. Furthermore, we believe you have: MSc, BSc in Computer Science or another relevant field, or equivalent work experience. Around 5 years or more experience working with backend development A strong understanding of distributed systems, microservices patterns, and how to build for scalability and resilience. These are a few of the technologies we work with. Backend: Java Cloud & Infrastructure: Google Cloud Platform, Kubernetes, Docker, Terraform Databases, Caching & Messaging: PostgreSQL, MongoDB, Redis, Kafka While solid Java experience is strongly preferred, we don’t expect you to have experience with everything else that we’re using. We care more about having strong engineering fundamentals and a curiosity to learn. 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. Applications are reviewed continuously. If you have any questions about the role, please contact Erika Thorslund, Talent Acquisition, [email protected] Please note that we do not offer relocation and that a six-month probationary period applies.

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 a Data Scientist.  Let us tell you about the role 📖 As a Data Scientist at Nextory, you will be part of our centralized data team, supporting our Business value stream with an analytical mindset and tech-savvy approach to drive sustainable subscriber growth. You will work closely with stakeholders across Business, Marketing, and Product to create data-driven insights and models that improve decision-making and business performance. Some examples of what you might be spending your time on: Owning projections and forecasts related to activations and new paying subscribers Supporting budgeting, forecasting, and ad hoc business analysis with actionable insights Building and improving Nextory’s central data capabilities and ways of working Supporting the Performance Marketing team with MMM, attribution models, and other analytical frameworks to improve marketing efficiency Drive data-informed growth by analyzing user behavior, optimizing funnels, and running A/B tests to improve acquisition and conversion. Build dashboards, reporting tools, and measurement frameworks in collaboration with Product and Business to provide clear performance insights and support Nextory’s growth strategy. The main character we’re looking for 👀 We believe that you are currently working in a similar role at a fast-moving, product-focused company. You enjoy solving complex business challenges through data and are confident working with multiple stakeholders and know how to balance business needs with analytical rigor. Furthermore, we believe you have: Several years of experience working as a Data Scientist or Data Analyst Strong knowledge of SQL and Python Experience working with performance marketing, attribution modeling, Marketing Mix Modeling (MMM), or related analytical methods Good understanding of digital marketing channels such as Google Ads, Meta, SEO, and online customer acquisition Experience building dashboards or working with BI tools (e.g. Looker, Tableau, or similar) 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. Applications are reviewed continuously, if you have any questions about the role, please contact Erika Thorslund, Talent Acquisition Partner, [email protected] Please note that we do not offer relocation and that a six-month probationary period applies.