Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-роль даёт реальную ответственность за платформу, современный стек и влияние на дата-системы крупной продуктовой компании, но требование работать из офиса в Стокгольме ограничивает доступность вакансии.
Только Стокгольм
Современный стек
Влияние на платформу
Хороший соцпакет
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Data Engineer | Data (Python/SQL): Building and evolving data pipelines, data models, and platform components for analytics, product development, and business insight with an accent on architecture, data quality, observability, and production reliability. Focus on modernising cloud-based data systems, solving structural platform problems, improving developer experience, and exploring AI-assisted development.
Location: Stockholm, Sweden; office-first with four days per week from the office. Candidates must already have the right to work and reside in Sweden.
Company
hirify.global is a Nordic media organisation operating hirify.global Play and MTV Katsomo, using data to support products, content recommendations, subscriptions, advertising, and viewer experiences.
What you will do
Design, build, and evolve data pipelines, data models, and data platform components.
Own technical work from problem definition and architecture through production, operations, and continuous improvement.
Influence platform modernisation and technical decisions while building for quality, testability, observability, security, and reliability.
Identify technical debt, bottlenecks, and structural problems, and drive improvements through automation and standardisation.
Collaborate with analysts, data scientists, product teams, and business stakeholders to solve valuable data problems.
Raise engineering capability through knowledge sharing, technical discussions, feedback, and exploration of AI and agentic development.
Requirements
Strong experience with SQL and Python.
Experience with data modelling, data pipelines, and ETL/ELT.
Experience with modern cloud-based data platforms and cloud environments, preferably AWS.
Production-quality software engineering experience, including testing, deployment, failure modes, and maintainability.
Experience with data quality, observability, CI/CD, and modern development practices.
Ability to handle ambiguous technical problems, form and explain technical opinions, assess trade-offs, and adapt to better information.
Already having the right to work and reside in Sweden and being able to work office-first from Stockholm are required.
Nice to have
Experience with Snowflake, Airflow, dbt, Terraform, or GitHub Actions; the stack is not a checklist.
Adjacent backend or platform experience combined with deep data engineering experience.
Culture & Benefits
Permanent employment beginning with a six-month probationary period.
Nordic Data team working across Stockholm and Helsinki, with high autonomy and short paths from idea to decision.
Opportunity to influence platform architecture, engineering practices, and technical direction.
Collective agreement, occupational pension, insurance, wellness allowance, Benify, phone of choice, and MacBook Pro.
Stockholm office with gym, restaurant, parking, and rooftop terrace.
No relocation or visa sponsorship is available.
Hiring process
A background check is part of the recruitment process.
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