Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чётко очерченная роль в крупной инфраструктурной компании финансового рынка сочетает современную инженерную работу с критически важными системами торгов и управления рисками; условия включают сильный пакет льгот и поддержку обучения.
Современный стек
Понятные задачи
Хороший пакет льгот
Финансовая инфраструктура
Поддержка развития
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Trading Development) (Financial Markets/Data Platforms): Building scalable data pipelines and data products for mission-critical regulatory use cases processing petabytes of sensitive financial data with an accent on data mesh architecture, real-time processing, and cloud platforms. Focus on designing resilient ELT systems, integrating Python, Scala, Spark, Kafka, and relational databases, and ensuring data quality across high-volume trading infrastructure.
Location: Prague, Czech Republic; hybrid work. Remote work from EU countries is available for up to 12 days per year.
Company
hirify.global operates financial-market infrastructure, including clearing, risk, trading, and regulatory technology.
What you will do
Design, develop, and maintain scalable batch and streaming ELT pipelines and data products.
Build data integration solutions with Python, Scala, Spark, Kafka, and relational databases such as Oracle.
Optimize data storage and retrieval across GCP, Azure, and Cloudera platforms.
Ensure data quality and integrity through testing and validation.
Troubleshoot pipeline performance and reliability while supporting production systems.
Collaborate with cross-functional teams to understand requirements and deliver data solutions.
Requirements
University degree in Computer Science, Engineering, or a related technical field.
Ideally 3+ years of relevant professional experience in data engineering or data product development.
Hands-on experience with GCP or Microsoft Azure and exposure to GCP data platforms such as BigQuery, Dataproc, and/or Databricks.
Proficiency in Scala/Spark, Python/PySpark, and Java.
Experience with batch scheduling and workflow orchestration tools.
Strong understanding of data modeling, domain-driven design, and data platform design.
Solid working knowledge of SQL and relational databases, plus proficiency with Git, GitHub, or GitLab.
Good understanding of financial markets; stock-exchange trading knowledge is advantageous.
Strong interpersonal and communication skills for collaboration across diverse teams.
Fluency in English is required.
Nice to have
Familiarity with Control-M and/or Airflow.
Experience with open architecture and open data formats such as Delta or Iceberg.
Exposure to CI/CD pipelines and DevOps methodologies.
Experience using AI tools such as Copilot, Gemini, or Claude to responsibly augment the software development lifecycle.
Knowledge of German.
Culture & Benefits
Hybrid work with flexible working hours.
Up to 12 days of remote work from EU countries per year.
Group Share Plan with a discount on company shares.
Pension contribution of 3% of gross salary, increasing to 5% after five years.
Health and wellbeing benefits including a Multisport card, life and accident insurance, sick days, and 100% salary contribution during sick leave for up to 56 days.
25 vacation days, covered public transport in Prague, free parking, a Flexible Benefit Account, e-learning access, development programs, mentoring, and a learning budget.
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