Niji
Niji

Niji ir Francijas digitālās transformācijas konsultāciju uzņēmums, kas palīdz uzņēmumiem un publiskā sektora organizācijām pārvērst stratēģiskās idejas praktiskos produktos, pakalpojumos un darbības iespējās. Kopš dibināšanas 2001. gadā uzņēmums apvieno digitālo stratēģiju, pakalpojumu dizainu, datus un mākslīgo intelektu, tehnoloģiju inženieriju, kiberdrošību un programmatūras izstrādi.

Uzņēmuma darbs aptver produktu un pakalpojumu inovācijas, uzņēmējdarbības modeļus, attiecības ar klientiem un lietotājiem, organizatoriskās pārmaiņas, procesu uzlabošanu un rūpnieciskos rīkus. Niji atbalsta arī sarežģītu tehnoloģiju integrāciju, tostarp ar Salesforce saistītus projektus. Konsultāciju uzņēmumā strādā vairāk nekā 1 400 cilvēku; tas darbojas birojos visā Francijā un ir pārstāvēts arī starptautiski Singapūrā, Spānijā un Marokā.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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