Назад
5 дней назад

Lead Data Engineer (Azure/DWH)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b2
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Описание вакансии

Lead Data Engineer

Company

Symfa

Conditions

Full-time Lead 🌎 World 💻 Development 🏠 Remote Job description

Lead Data Engineer

We're looking for a Lead Data Engineer (Azure, DWH) to join a long-term project in the insurance domain. You will take ownership of a strategic initiative — building a modern cloud-based data warehouse that will replace legacy reporting and month-end processes. This role combines hands-on engineering, technical leadership, and direct collaboration with the client.

Major responsibilities:

  • Act as a primary technical point of contact for the client, clarifying requirements and translating business goals into technical solutions
  • Own and drive the DWH delivery plan, including prioritization, planning, and progress tracking
  • Identify risks and dependencies (data, legacy systems, delivery) and proactively propose mitigation strategies
  • Perform code reviews and ensure high quality of SQL, PySpark, and data models across the team, ensure consistent quality and architectural alignment
  • Align technical solutions with stakeholders and present trade-offs and recommendations
  • Distribute tasks within the team and maintain a sustainable development pace.

We'd love to hear from you if you have:

  • 5+ years of experience in Data Engineering, including 2+ years in Azure
  • Expert-level SQL skills (complex analytical queries, performance optimization)
  • Strong experience with Azure Synapse Analytics, PySpark
  • Hands-on experience with Azure Data Lake Storage Gen2 and data layer design (Raw / Silver / Gold)
  • Experience with Azure SQL Managed Instance
  • Strong knowledge of data modeling (Kimball / Inmon, SCD, historical data handling)
  • Solid experience designing and building enterprise Data Warehouses (fact/dimension modeling, aggregation layers)
  • Experience in technical leadership (code reviews, architecture decisions, mentoring)
  • Experience working in Scrum teams and managing delivery from high-level requirements
  • English level B2+ (regular communication with the client).

Nice to have:

  • Experience with Python and Azure Data Factory
  • Background in insurance domain (premiums, commissions, taxes, etc.)
  • Familiarity with BI tools (e.g., Power BI)
  • Experience with lift-and-shift migration from legacy systems
  • Azure certifications (e.g., DP-203).

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