Analytics Engineer (EdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Analytics Engineer (EdTech): Designing and maintaining scalable data models and reliable transformation pipelines to power decision-making for a global EdTech platform with an accent on semantic layer development and data governance. Focus on building self-service data products, ensuring high-quality datasets, and actively experimenting with AI integrations to improve analytical workflows.
Location: Remote or hybrid from the Stockholm office
Company
is an EdTech scale-up providing an AI-powered intelligent learning platform to schools across 120+ countries.
What you will do
- Design, implement, and maintain scalable data models and transformations for reliable business datasets.
- Collaborate to integrate new data sources and automate high-performing pipelines.
- Develop a semantic layer to standardize key metrics across the organization.
- Implement data quality checks, testing frameworks, and governance practices.
- Partner with product, finance, and sales teams to translate business needs into robust solutions.
- Continuously improve architecture and apply modern best practices while experimenting with AI.
Requirements
- Proven experience with ELT/ETL workflows, version control (Git), and data governance.
- Strong SQL and dbt experience building and maintaining dimensional data models.
- Experience with modern cloud data stacks such as Snowflake, BigQuery, or Redshift.
- Strong business acumen with the ability to engage technical and non-technical stakeholders.
- Self-driven, detail-oriented approach with a focus on ownership and problem-solving.
Culture & Benefits
- Truly hybrid work policy with the option to work from the Stockholm office.
- ITP pension plan and yearly health budget.
- 30 days of paid vacation per year.
- Full pay sick leave starting from the first day.
- Collaborative, high-performing environment with a focus on AI innovation and impact.
Hiring process
- Discovery call, Hiring Manager hangout, case study, values interview, and leadership discussion.
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