RevoData
RevoData
RevoData — faqat Databricks platformasiga ixtisoslashgan, Niderlandiyada joylashgan ma’lumotlar va sun’iy intellekt bo‘yicha konsalting kompaniyasi. Uning konsalting jamoasi boshqariladigan Databricks xizmatlari, arxitektura tahlillari, treninglar, sun’iy intellekt muhandisligi, geofazoviy konsalting, ma’lumotlarni ko‘chirish va jarayonlarni optimallashtirish orqali korxonalarga modulli, ishlab chiqarishda foydalanishga tayyor ma’lumotlar va sun’iy intellekt platformalarini loyihalash hamda boshqarishda yordam beradi. Databricks Gold Partner maqomi, Databricks Champions mutaxassislari va to‘liq Databricks sertifikatiga ega jamoasi bilan RevoData murakkab korporativ ma’lumotlar loyihalarida platforma tajribasini amaliy joriy etish ko‘magi bilan birlashtiradi.

Senior Principal Data Engineer - Databricks, Remote Czechia

Senior Data Engineer leading scalable Databricks platforms for RevoData, a European data and AI consultancy. The role covers architecture, pipelines, cloud solutions, governance, and client-facing technical leadership.

Tavsif

  • Design and develop scalable data platforms.
  • Own architectural decisions and platform outcomes.
  • Develop Databricks platforms with Delta Lake, Unity Catalog, and governance practices.
  • Orchestrate workflows and establish effective code and deployment structures.
  • Build and maintain pipelines from data ingestion through consumption.
  • Create data solutions with Python, SQL, and cloud platforms.
  • Provide technical leadership while aligning technology choices with business needs.
  • Review colleagues’ work, share knowledge, and strengthen team capabilities.
  • Partner directly with clients to deliver practical value from data platforms.
  • Candidates new to Databricks complete a supported seven-month programme covering certifications, client projects, and internal knowledge sharing, with transition to a permanent contract after agreed milestones.

Talablar

  • Experience leading or significantly contributing to data platforms from initial concept through delivery.
  • A strong record of owning outcomes and making architectural decisions.
  • Deep knowledge of Databricks, including Delta Lake, Unity Catalog, governance, Workflows, code organization, and deployments.
  • Professional experience with Python and SQL.
  • Knowledge of data modelling and data pipeline development.
  • Experience with Azure, AWS, or Google Cloud Platform.
  • Experience building ETL or ELT pipelines and cloud-based data solutions.
  • Ability to define an approach, architecture, and initial steps from broad or unclear objectives.
  • Pragmatic judgment balanced with a commitment to quality.
  • Ability to develop colleagues through reviews, feedback, and technical discussion.
  • Ability to influence technical and business decisions and communicate trade-offs clearly.
  • Databricks certifications are advantageous.
  • Databricks Champion status is advantageous.

Imtiyozlar

  • Employment in Czechia arranged through a third-party Employer of Record and payroll provider in accordance with Czech employment requirements.
  • Access to Databricks learning materials, certification programmes, and partner academies.
  • Regular internal knowledge-sharing sessions and workshops.
  • Hands-on opportunities with Databricks and modern data and AI technologies.
  • Flexible, collaborative working environment.
  • Remote and hybrid work options.
  • International team distributed across Europe.
  • Development opportunities in technical expertise, consulting, and technical leadership.
  • Regular team activities.
  • Sustainable working practices and a wellbeing-focused environment.

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