About the role

  • Data Engineer designing and optimizing Azure-based data platforms for enterprise analytics. Developing scalable data pipelines and enabling insights through Power BI and Azure Synapse Analytics.

Responsibilities

  • Design and maintain end to end Azure data architectures, ensuring scalability, reliability, and performance.
  • Build and optimize Azure Synapse Analytics (Dedicated SQL Pool / Serverless SQL Pool) data warehouses.
  • Develop ETL/ELT pipelines using Azure Synapse Pipelines and Azure Data Factory.
  • Design dimensional data models following Star Schema and Snowflake methodologies.
  • Develop and optimize Power BI datasets, semantic models, DAX measures, and dashboards.
  • Implement data security and governance, including Row-Level Security (RLS) and best practice data governance standards.
  • Troubleshoot performance issues across data pipelines, data models, and BI layers.
  • Mentor junior engineers, review code, and contribute to architectural and technical decision making.

Requirements

  • 3+ years of experience in Data Engineering or Analytics Engineering.
  • Strong hands on experience with Azure Synapse Analytics or Azure Data Factory.
  • Advanced SQL expertise, including performance tuning and complex data transformations.
  • Solid experience with Power BI (data modeling, DAX, dataset optimization).
  • Experience developing ETL/ELT workflows with ADF/Synapse Pipelines.
  • Strong understanding of data warehousing, BI architecture, and modern data stack concepts.
  • Excellent problem-solving and analytical skills.
  • Strong communication skills to articulate complex technical concepts to stakeholders.
  • Ability to work effectively in a fast-paced, collaborative global environment.

Benefits

  • Competitive salary based on agreement.
  • Full social insurance coverage based on salary.
  • Probation with 100% salary.
  • Annual bonuses and regular salary reviews.
  • Training sponsorship for professional courses and certification exams.
  • Comprehensive healthcare coverage for staff and their families.
  • Regular health check-ups.
  • 15 days of paid annual leave, plus 1 additional day for every 3 years of service, up to 20 days.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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