Senior Data Engineer (Azure)

Location: Hybrid, Belgrade

Company

hirify.global delivers data engineering services and recommends successful candidates to clients.

What you will do

• Design, build, and optimize end-to-end data pipelines in Azure.
• Support migration of existing pipelines from on-premises systems to Azure.
• Improve data availability, accessibility, and industrialization across the data platform.
• Build and monitor data quality and data lag dashboards.
• Translate business needs into technical solutions with analysts, data scientists, and stakeholders.
• Maintain observability and operational tooling while contributing to knowledge sharing, workshops, and mentoring.

Requirements

• Strong proficiency in SQL, Python, and PySpark.
• Hands-on experience with Azure Data Services, including Databricks, Data Factory, Data Lake, or AKS.
• Experience with cloud-based data engineering and pipeline delivery.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently and proactively resolve data issues.

Nice to have

• Experience with data visualization or monitoring tools.
• Familiarity with Git and CI/CD for data workflows.

Culture & Benefits

• Hybrid work in Belgrade.
• Data engineering contract supporting client projects.
• Collaboration across product, analytics, delivery, and client teams.

Hiring process

• Brief non-technical conversation about background, career aspirations, communication, teamwork, and decision-making.
• Technical interview lasting 60–90 minutes, followed by a client interview with a final technical discussion.
• Successful candidates receive an offer and are recommended to clients.