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Чёткая зона ответственности для senior-инженера, профильные задачи и современный стек делают роль привлекательной; формат внутреннего стартапа может означать больше неопределённости, чем в зрелой команде.
?Темп внутреннего стартапа
Современный стек
Финтех-продукт
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer - Avanza Expansion (Fintech) (BigQuery/dbt/streaming): Building production-grade data pipelines and data products for Avanza's Danish expansion with an accent on resilience, observability, analytical modeling, and event-driven architecture. Focus on decoupling operational and analytical systems, connecting user behavior with financial domain data, and designing robust data contracts across engineering, analytics, and machine learning.
Location: Stockholm, Sweden. Hybrid workplace with attendance at Regeringsgatan 103 approximately two to three days per week.
Company
hirify.global is building a new data platform to support its expansion into Denmark, combining internal-startup autonomy with established financial infrastructure.
What you will do
Design, build, and maintain production-grade data pipelines with strong resilience, observability, testing, and CI/CD standards.
Decouple analytical systems from operational backends to support developer workflows and sustainable architecture.
Model data products by connecting clickstream and event-tracking data with core financial and domain data.
Bridge software engineering, product analytics, and machine learning to enable actionable product insights.
Shape architecture, data contracts, and data engineering best practices autonomously within a cross-functional team.
Requirements
Proven experience shipping and maintaining production data pipelines with CI/CD, testing, monitoring, and version control.
Strong hands-on experience with SQL, analytical data modeling, BigQuery, and dbt.
Solid production experience with event-driven architectures and streaming data using Kafka, Pub/Sub, or equivalent message queues.
Architectural understanding of decoupling operational and analytical systems to build scalable interfaces.
Practical experience working with user behavior data and connecting it with transactional domain data.
Proactive and collaborative approach, with the ability to act as a subject matter expert and partner with developers and product teams.
Professional working proficiency in English, written and spoken, is required.
Nice to have
Backend development experience with Java or Python, or experience building data ingestion APIs.
Python experience for data automation or AI and ML integrations.
Interest in AI tools and methods that improve engineering velocity.
Experience in fintech or regulated environments.
Interest in personal finance, savings, and investments.
Culture & Benefits
Internal-startup environment with autonomy and startup pace backed by Avanza's established infrastructure.
Hybrid work model with office collaboration approximately two to three days per week.
End-to-end ownership of the product's data capabilities within a cross-functional team.
Hiring process
Submit an application through the application button; applications are reviewed continuously.
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