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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer (SQL/dbt/Looker/BigQuery): Developing data transformation workflows, semantic layers, and scalable data models that enable self-service analytics across a global audiobook and e-book streaming organization with an accent on data reliability, performance, and business collaboration. Focus on leading complex data projects, resolving critical data issues, establishing monitoring and best practices, and mentoring data practitioners.
Location: Stockholm, Sweden
Company
Storytel operates a global audiobook and e-book streaming platform serving millions of users across 25 markets.
What you will do
Develop data transformation workflows and build a robust data modeling foundation for self-service analytics.
Create and maintain semantic layers that support analysis and decision-making across business domains.
Partner with business stakeholders to identify high-impact analytics opportunities and improve data literacy.
Lead the resolution of critical data issues and establish monitoring systems and data reliability practices.
Promote technical best practices, mentor junior engineers, and introduce relevant industry innovations.
Requirements
Experience creating and maintaining semantic layers and working in Analytics Engineering, BI, Analytics, or Data Engineering.
Deep expertise in SQL and data modeling, with experience using modern data stack technologies such as dbt, Looker, BigQuery, or equivalent tools.
Ability to deliver performant, accurate, and scalable data solutions.
Experience mentoring junior engineers and driving technical improvements across a team.
Ability to lead complex data projects, solve problems independently, and communicate technical concepts clearly to varied audiences.
Ability to work in Stockholm, Sweden; application must be submitted in English.
Nice to have
Experience working with Python.
Experience with data governance, access management, and different data modeling schemas.
Experience working with international teams and global data operations.
Culture & Benefits
Collaborative environment combining Analytics Engineering and Data Engineering expertise.
Trust-based culture with flat hierarchies and opportunities to experiment.
Support for professional growth and continuous improvement.
Opportunity to influence data capabilities across a global organization.
Hiring process
Submit an application in English with a CV or LinkedIn profile; no cover letter is required.
Answer several application questions.
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