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RevoData
RevoData
11 – 50 Employees
Artificial IntelligenceB2BConsulting
RevoData is a Netherlands-based data and AI consultancy focused exclusively on Databricks. Its consulting team helps enterprises design and operate modular, production-ready data and AI platforms through managed Databricks services, architecture reviews, training, AI engineering, geospatial consulting, data migration, and process optimization. As a Databricks Gold Partner with Databricks Champions and a fully Databricks-certified team, RevoData combines platform expertise with practical delivery support for complex enterprise data projects.
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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.

CZCzechia
Kč 120,000 – Kč 180,000 / month
RemoteFull-timeSeniorEnglish RequiredData Engineer
AWSAzureCloudETLGoogle Cloud PlatformPythonSQLUnity

Description

  • 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.

Requirements

  • 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.

Benefits

  • 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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