Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
€40к-50к/год
€48к€61кмедиана€67к
По похожим ролям (50) ~ €61к/год
На СНГ рынке: $3.8к/мес ($3к - $4.4к)
67
Хорошая вакансия
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Роль описана понятно и предполагает работу с современными высоконагруженными системами обработки данных, но зарплата заметно ниже ориентира для похожих senior-вакансий, что существенно снижает привлекательность предложения.
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Зарплата ниже рынкаСовременный стекПонятные задачиБюджет на обучениеГибкий формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Data Pipeline (Python/Go/GCP): Building and operating high-throughput data pipelines for real-time tracking, large-scale imports, and BigQuery exports with an accent on reliability, scalability, and data processing performance. Focus on optimizing workers and autoscaling, implementing ETL integrations and transformations, and supporting high-volume production services on Kubernetes.
Location: Remote-first from Central and Eastern Europe; offices available in Bratislava, Brno, and Prague.
Base salary: €39,700–€49,500 per year.
Company
hirify.global builds an AI-powered agentic personalization platform for customer journeys, serving global brands across retail, financial services, hospitality, and gaming.
What you will do
Develop reliable, high-throughput data pipelines using Python, Go, MongoDB, and Google Cloud Platform.
Process real-time customer behavior data at tens of thousands of requests per second.
Improve the throughput and reliability of imports involving millions of data rows, including integrations with additional storage systems.
Build and support exports to BigQuery using Dataflow, PySpark, and Apache Beam.
Operate production services on Google Cloud Platform and Kubernetes, including monitoring, autoscaling, and incident mitigation.
Review peer code, contribute to complex projects, and eventually participate in the on-call rotation.
Requirements
Experience with Python and sound software engineering practices.
Experience with ETL pipelines and large-scale data ingestion from SQL and non-SQL sources.
Ability to perform data cleanup, sanitization, transformation, and loading into optimized storage.
Ability to learn and adapt within a large codebase and evolving team processes.
Ability to work remotely from Central and Eastern Europe.
Nice to have
Experience with Go.
Experience with Apache Kafka, Kubernetes, Google Cloud Platform, Dataflow, PySpark, Apache Beam, BigQuery, BigLake, Dataproc, Flink, Redis, or GitLab.
Culture & Benefits
Remote-first and virtual-first working environment with flexible working hours and hubs across three continents.
Freedom, trust, and responsibility with a focus on results.
Annual professional education budget of $1,500 and access to personal development programs.
Paid volunteer days, quarterly additional days off, parental leave, employee assistance, and wellness activities.
Performance bonus, equity or stock options depending on role and location, and referral bonuses.
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