Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Это чётко очерченная senior-роль с современным AWS-стеком, влиянием на несколько команд и явным отказом от регулярных переработок и дежурств.
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Четыре дня в офисеАктуальный стекПонятная зона ответственностиБез регулярных дежурствЗаметная социальная миссия
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Platform Engineer (AWS): Building and scaling reliable data infrastructure, processing services, and ingestion flows for batch pipelines, live inference, streaming initiatives, and BI tools with an accent on platform ownership, data quality, and operational reliability. Focus on designing reusable self-service systems, managing distributed production pipelines, and automating observability, integrity testing, and governance across multiple teams.
Location: Hybrid in Copenhagen, Denmark, 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, implement, and maintain reusable data processing infrastructure and ingestion flows for the central warehouse, backend app, BI tools, personalization, product discovery, lead generation, and dynamic pricing.
Own shared infrastructure for ML workflows, data processing, and storage, including Metaflow, Glue, AppFlow, Airflow, Lambda, Redshift, OpenSearch, RDS, and S3.
Build self-service tooling that enables teams to deploy and operate their own pipelines independently.
Collaborate with Product Managers, Tech Leads, analytics engineers, and ML engineers across ML, Finance, Marketing, and Analytics to translate operational use cases into technical requirements.
Automate observability metrics and data integrity tests to provide reliable, trusted data and strong governance.
Requirements
Strong proficiency in Python and SQL, with understanding of AWS Redshift internals and efficient use of S3.
Understanding of data engineering fundamentals, including scalability, reliability, fault tolerance, and operational trade-offs.
Solid experience designing, building, and operating production data processing solutions with Airflow, AppFlow, Metaflow, dbt, and dlt.
Experience working with distributed systems in production, including Spark on EMR and Glue.
Strong software engineering and systems engineering skills, with experience managing platform-level systems rather than only pipelines.
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.
Nice to have
Experience with streaming technologies including Kinesis, Firehose, and Flink.
Kubernetes and Helm experience.
Culture & Benefits
Opportunity to work at a scaling social impact company focused on reducing food waste globally.
Hybrid work setup in the Copenhagen HQ, with four days in the office.
Focus on work-life balance, with no mandatory overtime or standard on-call duty.
International environment with colleagues across 19 countries.
Informal, values-driven culture within the Tech & Product organization.
Hiring process
Submit a CV in English through the company platform.
Applications are not accepted by email or LinkedIn direct messaging.
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