Data Engineer (Azure)

Location: Eastern Europe

Company

hirify.global is hiring for a global jewelry manufacturer transforming its data and analytics footprint and migrating from IaaS-based Microsoft/QV solutions to Azure PaaS.

What you will do

• Design, build, and maintain scalable, efficient, and stable data products within a product team.
• Partner with product owners to deliver features supporting reporting, analytics, commercial use cases, and operational efficiencies.
• Create and maintain high-quality data pipeline architecture, ingest complex datasets, automate manual processes, and improve data quality.
• Translate business and system requirements into technical design documentation and conceptual data models.
• Own data products, monitor their stability and benefits, and enable broad reuse through a “build-once-consume-many” approach.
• Collaborate with stakeholders and teams to solve data-related technical challenges while following and improving engineering best practices.

Requirements

• Relevant education in Computer Science, Mathematics, Economics, Information Management, Statistics, or a related field.
• 5+ years of experience as a Data Engineer or Software Engineer focused on data.
• Proven experience with ADF, Data Lake, Synapse, T/U-SQL, Databricks, MDS, DAX, SSIS, and SQL Server.
• Programming experience with Python, not limited to scripting.
• DevOps and CI/CD experience, hands-on Git usage, coding best practices, and unit testing.
• Experience working with relational datasets using SQL, data warehousing, dimensional modelling, and cubes.
• Experience building and optimizing data pipelines, architectures, and datasets, including work with Azure, AWS, or other cloud providers.
• Experience designing, building, and delivering production-ready enterprise-level data products.
• Highly proficient English and the ability to communicate with all organizational levels.
• Agile mindset and experience with Scrum.

Nice to have

• Experience with big data technologies such as Spark or Hadoop.
• Experience with data pipeline and workflow tools such as Airflow.
• Experience with Kubernetes and Helm, particularly Airflow running on Kubernetes.
• Experience with Kafka or Spark Streaming.

Culture & Benefits

• Paid vacation, sick days, and floating holidays.
• Sport and insurance compensation.
• English classes and training compensation.
• Charity initiatives.
• Fast-paced, challenge-driven environment with an emphasis on problem solving, collaboration, and continuous improvement.