Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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348к-468к PLN/год
200к PLN230к PLNмедиана270к PLN
По похожим ролям (20) ~ 230к PLN/год
Прикинули из 29к-39к PLN/мес × 12
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
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Роль предполагает заметное техническое лидерство в развитии корпоративных платформ данных, но широкий набор облаков и инструментов может сделать требования очень масштабными.
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Engineer (Data Platforms): Designing and evolving enterprise-scale data platforms and production-grade pipelines with an accent on distributed processing, cloud architecture, data quality, and platform resilience. Focus on setting engineering strategy, leading cross-squad technical decisions, and building scalable, observable, and cost-efficient systems with Python, SQL, Spark, and cloud services.
Location: Krakow, Poland; hybrid work with a blend of working from home and the Kraków office
Salary: 29,000–39,000 PLN gross per month on an employment contract
Company
hirify.global is a home improvement company operating brands including Castorama, B&Q, Screwfix, Brico Dépôt, and Koçtaş.
What you will do
Define and drive data platform and data engineering strategy aligned with Group Technology objectives.
Lead architecture decisions and establish scalable engineering standards across data pipelines, storage, and processing.
Design and deliver resilient, high-performing, cost-efficient data platforms and production-ready pipelines.
Drive CI/CD, automated testing, observability, DevOps, platform automation, data quality, governance, and security.
Provide technical leadership across multiple squads and lead business-critical initiatives spanning teams, systems, and geographies.
Mentor engineers, support hiring and capability development, and evaluate emerging technologies.
Requirements
Ability to influence executive-level stakeholders and collaborate across multiple domains while leading through uncertainty and changing priorities.
Track record of setting engineering standards, driving continuous improvement, coaching engineers, and developing high-performing teams.
Strong expertise in distributed data processing systems, cloud-native and distributed systems design, and batch, streaming, and event-driven architectures.
Deep knowledge of data modelling, storage, access, processing patterns, and production-grade data platforms and pipelines.
Strong programming skills in Python and SQL; hands-on experience with Spark, PySpark, or Scala.
Experience with DBT for data modelling and transformation, plus Databricks, BigQuery, and Azure Data Factory.
Strong knowledge of GCP, Azure, and AWS cloud platforms.
Experience with DevOps and DataOps practices, including CI/CD, Git, Terraform, Docker, Kubernetes, data quality tools, and testing frameworks such as Great Expectations.
Experience designing resilient, scalable, observable systems and optimising platforms for performance and cost efficiency.
Excellent command of English, written and spoken.
Culture & Benefits
Inclusive environment supporting experimentation, new ideas, continuous learning, and engineering excellence.
Flexible and agile hybrid working with home-office and Kraków-office options.
29,000–39,000 PLN gross monthly salary on an employment contract, with an opportunity for an annual bonus.
Private medical healthcare with dental care, life insurance, child insurance, sports card, and pension-related benefits.
Language and accounting courses, LinkedIn Learning, study and certification co-financing, and a training and buddy programme.
Public transport co-financing in Krakow, parking benefits, and a 30-minute lunch break included in the 8-hour working day.
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