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Niji
Niji
1.001 – 5.000 Angajați
ConsultanțăInteligență artificialăSecuritate cibernetică

Niji este o companie franceză de consultanță în transformare digitală, care ajută întreprinderile și organizațiile din sectorul public să transforme ideile strategice în produse, servicii și capacități operaționale practice. De la înființarea sa în 2001, compania reunește strategia digitală, proiectarea serviciilor, datele și inteligența artificială, ingineria tehnologică, securitatea cibernetică și dezvoltarea de software.

Activitatea sa acoperă inovarea produselor și serviciilor, modelele de afaceri, relațiile cu clienții și utilizatorii, schimbarea organizațională, îmbunătățirea proceselor și instrumentele industriale. Niji sprijină, de asemenea, integrări tehnologice complexe, inclusiv proiecte asociate cu Salesforce. Cu o echipă de peste 1.400 de persoane, compania de consultanță operează din birouri din întreaga Franță și are o prezență internațională în Singapore, Spania și Maroc.

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Locurile de muncă ale companiei

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.

FRFranțaHibridNormă întreagăSeniorLimbă Obligatorie: francezăInginer de date
AWSAzureCloudFluxGoogle Cloud PlatformPythonSparkSQLUnity

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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