Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-роль в продуктовой компании сочетает современную платформу данных на AWS с обещанием без обязательных переработок и дежурств; четыре дня в офисе в Копенгагене - важное ограничение.
Четыре дня в офисе
Современный стек данных
Чёткая зона ответственности
Без регулярных переработок
Польза для общества
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Platform Engineer (AWS): Building and scaling reliable data infrastructure, processing platforms, ingestion flows, and self-service tooling for ML, analytics, marketing, and backend teams with an accent on AWS data services, production pipelines, and infrastructure governance. Focus on designing reusable platform systems, optimizing performance and costs, automating observability and data integrity, and driving architecture while mentoring engineers.
Location: Copenhagen, Denmark; hybrid work with 4 days per week in the Copenhagen HQ.
Company
hirify.global is a social impact company operating across 20 countries through a marketplace app, educational tools, legislative work, and logistics initiatives to reduce food waste.
What you will do
Design, architect, and maintain scalable data processing solutions and reusable infrastructure for personalization, product discovery, lead generation, dynamic pricing, and BI dashboards.
Own shared infrastructure for ML workflows, data processing, and storage across Glue, AppFlow, Airflow, Lambda, Redshift, OpenSearch, RDS, and S3.
Build self-service tooling and infrastructure standards so teams can deploy and operate pipelines independently.
Optimize performance, efficiency, and infrastructure cost governance across the AWS data ecosystem.
Partner with Product Managers and Tech Leads across ML, Finance, Marketing, and Analytics to translate operational use cases into technical requirements.
Automate observability, monitoring, data integrity testing, and governance; drive design reviews, best practices, and mentoring across the data team.
Requirements
Deep proficiency in Python and SQL, with advanced understanding of AWS Redshift internals, efficient S3 usage, and data engineering fundamentals including scalability, reliability, fault tolerance, and trade-off analysis.
Extensive experience designing, building, and operating production data processing solutions using Airflow, AppFlow, Metaflow, dbt, and dlt.
Experience with distributed systems in production, including Spark on EMR and Glue.
Strong software and systems engineering skills with a proven record of managing platform-level systems end to end.
Experience with DataOps, GitOps, Terraform, CI/CD tools including GitHub Actions and Docker, and observability tools.
Familiarity with MLOps principles, cloud-native infrastructure, and container orchestration.
Proven ability to take technical ownership of complex projects autonomously, drive architectural decisions, and mentor engineers.
Nice to have
Experience with streaming technologies including Kinesis, Firehose, and Flink.
Experience with Kubernetes and Helm.
Culture & Benefits
Opportunity to contribute to a scaling social impact company focused on reducing food waste globally.
Hybrid work setup in the Copenhagen HQ with 4 office days per week.
Work-life balance focus with no mandatory overtime or standard on-call duty.
International environment with more than 1,300 colleagues across 19 countries and an informal Tech & Product organization.
Values-driven culture focused on collaboration, high standards, simplicity, legacy, and care.
Hiring process
Submit a CV or resume in English.
Applications are accepted only through the company platform; CVs and cover letters sent by email or LinkedIn direct message are not accepted.
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