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3 дня назад

Data Engineer (AWS/Spark)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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