Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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У роли понятные задачи в data engineering, современный облачный стек и хорошие льготы, но обязательные три дня в офисе ограничивают гибкость.
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Три дня в офисеСовременный стекПонятные задачиХороший пакет льготВозможности развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (AWS/Spark): Building and evolving scalable batch and streaming data pipelines for a modern data platform with an accent on Spark, Databricks, data modelling, and reliability. Focus on designing robust data products, supporting analytics and business decision-making, and improving observability, testing, and platform tooling.
Location: Stockholm, Sweden; hybrid model with at least three days per week in the office.
Company
hirify.global provides streaming services, radio networks, and TV channels for millions of people.
What you will do
Design, build, and maintain robust batch and streaming data pipelines on an AWS-hosted data platform.
Develop scalable data solutions using Spark, Databricks, and related tooling.
Ensure the quality, performance, reliability, and observability of data products.
Collaborate with product, analytics, commercial, and other cross-functional teams to support business and analytics needs.
Apply engineering best practices including clean code, testing, peer reviews, and continuous improvement of platform tooling.
Requirements
At least 3+ years of experience in data engineering.
Experience with data processing tooling, preferably Databricks.
Good hands-on experience with SQL and Python.
Good understanding of data modelling, including medallion/layered architectures and dimensional modelling.
Familiarity with data modelling, version control, and orchestration tools.
Ability to work collaboratively with stakeholders and solve complex challenges.
Nice to have
Spark experience.
Exposure to infrastructure as code and CI/CD.
Hands-on experience with streaming frameworks such as Flink or Lambda.
Understanding of cloud services and infrastructure including AWS, GCP, or Azure.
Experience with data quality frameworks or data observability tooling.
Interest in developer experience and scalable platforms.
Contributions to open-source or internal engineering communities.
Culture & Benefits
Hybrid work with at least three office days per week.
30 days of paid vacation annually, pension and insurance benefits, and parental leave pay.
Wellbeing initiatives including a wellness allowance.
Learning and upskilling opportunities.
Annual week-long Hack Days for developing creative technical solutions.
Unlimited access to Viaplay content, including series, viewing events, movie rentals, and linear channels.
Hiring process
Apply with a CV; a LinkedIn profile may also be included.
Applications must be submitted through the application platform, not by email.
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