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Senior Data Engineer (Azure)

4 months, 1 week ago
Serbia, Romania
Part-time
Senior
Data Engineer
Software Development
Azure CI/CD Databricks Power BI Python Snowflake SQL SQL Server
Apply Now

Sedona Digital

Sedona Digital describes itself as an award-winning transformation partner specializing in Software/AI, Data/AI, Cloud Security, and Business Change. Its site also describes it as a process-led, AI, data, security and software business.

IT Services and IT Consulting
Founded 2008
View All Jobs 8

Description

  • Design, build, and maintain end-to-end data pipelines in Azure using Azure Data Factory, Azure Blob Storage / ADLS, and Azure Synapse Analytics.
  • Implement and maintain Azure-based data lakes across raw, staged, and curated layers according to standards and best practices.
  • Design and optimize Azure Synapse Analytics environments, including table structures, distribution strategies, partitioning, and performance tuning.
  • Develop ingestion patterns for data sourced from on-premises SQL Server, Azure SQL Database, other relational databases, and Cosmos DB.
  • Build secure and scalable orchestration workflows using Azure Data Factory for batch-oriented data processing.
  • Implement secure authentication and access control using Azure Active Directory with role-based access and least-privilege principles.
  • Develop reusable transformation logic aligned with agreed data modelling and semantic-layer standards.
  • Support analytical workloads through integration with Azure Analysis Services and downstream consumption in Power BI.
  • Monitor, troubleshoot, and improve pipeline reliability, data quality, and platform performance.
  • Collaborate with architects, analysts, and client stakeholders to translate business requirements into scalable Azure data solutions.
  • Contribute to data engineering standards, security practices, and governance patterns.
  • Support clients during platform adoption, knowledge transfer, and handover.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 5+ years of experience in data engineering, ETL/ELT development, and data integration.
  • Strong hands-on experience with Microsoft Azure, including Azure Data Factory, Azure Blob Storage / ADLS, Azure Synapse Analytics, and Azure SQL.
  • Solid understanding of data lake and data warehouse architectures.
  • Experience designing and operating batch-oriented data pipelines at scale.
  • Strong SQL skills and experience with data modelling, including facts, dimensions, and semantic layers.
  • Experience with Python or similar languages for data processing and automation.
  • Familiarity with Azure Active Directory and secure authentication patterns.
  • Ability to work independently, manage changing priorities, and make pragmatic technical decisions.
  • Strong communication skills in English and the ability to explain technical concepts clearly.
  • A relevant Microsoft Azure certification is required, or the successful candidate must complete one within the probation period.
  • Experience with Azure Analysis Services, Power BI semantic models, or enterprise BI architectures is preferred.
  • Exposure to Synapse serverless SQL, lakehouse-style patterns, or hybrid data platforms is preferred.
  • Familiarity with Databricks or Snowflake and the ability to compare architectural trade-offs is preferred.
  • Understanding of CI/CD practices for Azure data platforms is preferred.
  • Experience working in regulated or security-sensitive environments is preferred.
  • Previous experience supporting discovery or early-phase data platform design engagements is preferred.

Interested in this position?

Apply directly on the company website

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