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7 дней назад

Data Engineer (Azure/Databricks)

65 000 - 100 000CAD
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Engineer (Azure/Databricks): Building and operating scalable data pipelines and analytics-ready datasets on Microsoft Azure and Databricks with an accent on Python, SQL, Lakehouse architectures, and data quality. Focus on ingesting and transforming enterprise data, troubleshooting production jobs, and creating trusted foundations for reporting, advanced analytics, and AI-enabled solutions.

Location: Canada; hybrid work with three days per week of in-person presence

Salary: CAD 65,000–100,000 per year

Company

Zurich Canada is part of hirify.global, a global multiline insurer serving commercial customers in Canadian and international markets.

What you will do

  • Develop and maintain scalable batch and incremental data pipelines with Databricks on Microsoft Azure.
  • Build Python and SQL transformations and ingest data from enterprise applications, files, APIs, and event-driven sources.
  • Design and maintain raw, refined, and curated Lakehouse datasets.
  • Perform data-quality checks, anomaly detection, reconciliations, monitoring, and production troubleshooting.
  • Partner with analytics, data science, and AI teams to provide trusted data for reporting and advanced analytics.
  • Follow data governance, privacy, security, documentation, and runbook standards.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
  • Hands-on Python experience for data processing and automation, plus working knowledge of SQL.
  • Exposure to Databricks, including jobs, notebooks, and Delta Lake concepts, or a similar cloud data platform.
  • Familiarity with Microsoft Azure storage, compute, identity, and networking services.
  • Understanding of ETL/ELT, data modelling, schema evolution, performance optimization, validation, and monitoring.
  • Ability to write maintainable code and work with version control and engineering standards.

Nice to have

  • Experience with Delta Lake or Lakehouse architectures.
  • Exposure to CI/CD for data pipelines.
  • Experience with data governance, privacy, regulated data, or financial services and insurance environments.
  • Experience supporting enterprise production data solutions.
  • Interest in AI-enabled analytics and automation.

Culture & Benefits

  • Collaborative, inclusive culture focused on diversity, inclusion, equity, and belonging.
  • Comprehensive health and benefits coverage with competitive total compensation.
  • At least four weeks of vacation and four personal days per year.
  • Training and professional development opportunities.
  • Hybrid work model with regular in-person collaboration.

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