Niji
Niji

Niji — кәсіпорындар мен мемлекеттік сектор ұйымдарына стратегиялық идеяларды нақты өнімдерге, қызметтерге және операциялық мүмкіндіктерге айналдыруға көмектесетін француз цифрлық трансформация консалтингілік компаниясы. 2001 жылы құрылғаннан бері компания цифрлық стратегияны, сервистік дизайнды, деректер мен жасанды интеллектті, технологиялық инженерияны, киберқауіпсіздікті және бағдарламалық жасақтама әзірлеуді бір арнаға тоғыстырып келеді.

Компанияның жұмысы өнімдер мен қызметтердегі инновацияны, бизнес-модельдерді, клиенттермен және пайдаланушылармен қарым-қатынасты, ұйымдық өзгерістерді, процестерді жетілдіруді және өнеркәсіптік құралдарды қамтиды. Niji сондай-ақ Salesforce жобаларын қоса алғанда, күрделі технологиялық интеграцияларды қолдайды. 1 400-ден астам қызметкері бар консалтинг компаниясы Францияның әр түкпіріндегі кеңселерінен жұмыс істейді және Сингапур, Испания мен Мароккода халықаралық өкілдігі бар.

Senior Lead Data Engineer, Databricks

Lead the design and industrialization of data platforms for analytics, machine learning, and generative AI at Niji, a digital and technology consultancy. The role combines Databricks technical leadership with mentoring engineers and advising clients.

Сипаттама

  • Translate business challenges into practical data solutions.
  • Design scalable, secure Databricks and Lakehouse architectures.
  • Set technical direction, technology choices, and development standards.
  • Design and oversee high-performance, production-ready data pipelines.
  • Apply best practices across Spark, Delta Lake, Unity Catalog, and Databricks.
  • Maintain data processing quality, performance, reliability, and governance.
  • Build data platforms for analytics, machine learning, and generative AI.
  • Work with Data Science and AI teams to prepare data and flows for AI models and applications.
  • Move solutions from design into production using CI/CD, monitoring, and DataOps.
  • Act as the technical authority on Data Engineering and Databricks.
  • Guide Data Engineers in technical decisions and professional development.
  • Promote good engineering practices and help set technical standards for the practice.
  • Contribute to tender responses and commercial proposals.
  • Assess client requirements and recommend high-value data solutions.
  • Advise clients on Databricks, Lakehouse architecture, and production-grade data platforms.

Талаптар

  • University degree, engineering degree, or equivalent master’s-level qualification.
  • Substantial Data Engineering experience, ideally in complex or high-volume environments.
  • Five to ten years of experience, as stated in the job listing.
  • Demonstrated Databricks expertise, including production use.
  • Strong knowledge of Spark, Delta Lake, data modeling, and Lakehouse architectures.
  • Proficiency with at least one cloud platform: Azure, AWS, or GCP.
  • Strong Python and SQL skills.
  • Experience with production practices such as CI/CD, orchestration, monitoring, and DataOps.
  • Understanding of data governance, quality, security, and performance optimization.
  • Ability to design data platforms for analytics, machine learning, or generative AI.
  • Ability to assess technical choices and support a team.
  • Ability to provide technical leadership to teams and clients.
  • Databricks certification is an advantage.

Артықшылықтар

  • Professional development through Niji University, with more than 33,000 learning resources and practical experience.
  • Access to current AI tools for teams and specialists.
  • Individual support through regular one-to-one meetings, a dedicated HR Business Partner, and a skills framework.
  • Flexible working hours.
  • Remote work.
  • Meal vouchers.
  • Mobility allowance.
  • Access to a services platform.
  • Responsible business commitments and a strong CSR policy.
  • Impactful projects for major companies and mid-sized businesses.
  • Multidisciplinary teams across Consulting, Design, Data, AI, Cybersecurity, and Technology.

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