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Data engineer

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Randstad

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Location:
Hungary , Budapest

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Our client empowers organizations worldwide to strategically acquire and optimize software investments, embrace cloud and AI technologies, and drive innovation through enhanced efficiency. They are a trusted advisor in strategic software acquisition, continual IT estate optimization, and maximizing returns on investments in cloud, data, and AI. We are seeking a Data Engineer to design and implement data solutions in Microsoft Azure. As a Data Engineer, you will operate within some of our most versatile and complex client environments, utilizing technologies such as ETL tools, SQL and Python.

Job Responsibility:

  • Lead technical decisions for enterprise data architecture using Databricks
  • Develop strategies for cost-effective, high-performance data architectures, covering everything from data streams to analytical storage
  • Design and implement data solutions in Microsoft Azure, based on project needs
  • Build and maintain ETL processes and data models for analytical pipelines, especially in Finance
  • Establish and uphold best practices for software development, like version control, testing, and CI
  • Support pre-sales activities, including RFPs, proposals, and client communications
  • Guide discussions on cloud data warehousing and machine learning platforms
  • Provide technical support for vendor and third-party engagements
  • Offer ongoing support for business and technology teams on platform strategy and quality assurance

Requirements:

  • Bachelor’s degree in Computer Science, IT, or a related field
  • Minimum 2 years of Databricks and 4 years of Azure experience (certifications preferred)
  • Experience as a Data Architect/Engineer with hands-on expertise in Data Lakehouse, Data Lake, and Data Warehouse design
  • Strong knowledge of Databricks, Data Lakes and Spark
  • Strong experience with Azure Platform Services (Identities, Network, Storage)
  • Proficiency with Azure Data Services, including Azure Data Factory, Azure SQL
  • Experience with streaming data technologies like Databricks Streaming, Kafka, Azure Streaming Services
  • Experience with Azure DevOps especially Azure Pipelines
  • Proficiency in Python, PySpark, SQL
  • Familiarity with DataOps
What we offer:
  • Opportunity to gain MS certifications
  • Flexible working conditions
  • Opportunity for professional development
  • Freedom to develop independent processes within your team
  • Open communication
  • through a flat organizational hierarchy, they are agile and able to respond as a cohesive team

Additional Information:

Job Posted:
December 23, 2025

Expiration:
January 03, 2026

Employment Type:
Fulltime
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