Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная роль Senior Data Engineer в известной международной продуктовой компании: есть ответственность за рабочие data-продукты и современную платформу Azure и Databricks. Работа в офисе в Мальмё ограничивает выбор места.
Работа в офисе
Современный стек
Ответственность за продукт
Данные для устойчивого развития
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Azure/Databricks): Building and operating scalable data pipelines and data products for IKEA’s sustainability value chain with an accent on data quality, metadata, lineage, monitoring, and reliable cloud data platforms. Focus on designing performance-optimized solutions, improving developer experience, and translating business needs into secure, maintainable engineering systems.
Location: Based in Malmö, Sweden
Company
hirify.global is transforming its digital capabilities by connecting business processes, people, data, and technology across its retail value chain.
What you will do
Develop and operate data pipelines and supporting functions including metadata, data quality, lineage, and monitoring.
Design, improve, and maintain reliable data products and the data ecosystem for Sustainability.
Promote good engineering practices, simplify developer workflows, and strengthen engineering culture.
Collaborate with Sustainability business stakeholders, engineers, architecture, privacy, and cybersecurity functions.
Participate in Agile team activities including standups, planning, backlog reviews, and peer reviews.
Share knowledge across Data & Product and Digital teams and mentor less experienced engineers.
Requirements
5 years of experience in Data Engineering, with proficiency in Python, PySpark, and SQL.
Demonstrable experience as a Senior Data Engineer designing and implementing performance-optimized, scalable data pipelines.
Experience with cloud providers such as Azure, AWS, or GCP and data platforms including Databricks.
Ability to take ownership of data quality, performance, security, operational stability, and the health and evolution of the data platform.
Ability to translate business needs into technical solutions and proactively drive improvements.
Ability to set high engineering standards through personal practice and coach and mentor less experienced engineers.
Collaborative mindset with an interest in supporting colleagues and improving ways of working.
Positive interest in developer experience and building simple, reliable, maintainable solutions.
Nice to have
Exposure to Data Mesh, Data Lakehouse, and Data Products concepts.
Culture & Benefits
Full-time employment at 40 hours per week.
Work in an empowered data and product team with servant-leader support.
Agile collaboration across engineering, product, business, architecture, privacy, and cybersecurity functions.
Contribute to an open, learning-oriented, inclusive engineering culture.
Hiring process
Applications close on 19 November.
Application questions can be directed to Jas.Garcha@Inter.hirify.global.com.
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