Senior Data Engineer (Azure Data)

TL;DR

Senior Data Engineer (Azure Data): Designing and implementing scalable, reusable, and high-quality data products on a modern Azure PaaS data platform with an accent on data pipeline efficiency, quality, and performance. Focus on translating business requirements into technical designs, optimizing large datasets, and enabling advanced analytics and data-driven decision-making.

Location: Wroclaw, Poland

Company

hirify.global is providing services to a global jewelry manufacturer undergoing a major data platform transformation.

What you will do

• Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform.
• Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models.
• Enable advanced analytics, reporting, and other data-driven use cases.
• Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance.
• Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.
• Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits.

Requirements

• 5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server.
• Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes.
• Practical experience with Azure Data Factory, Databricks, and PySpark.
• Track record of designing, building, and delivering production-ready data products at enterprise scale.
• Strong analytical skills and ability to translate business requirements into technical solutions.
• Excellent communication skills in English.
• Experience working in Agile/Scrum teams.

Nice to have

• Familiarity with infrastructure tools such as Kubernetes and Helm.
• Experience with Kafka.

Culture & Benefits

• Paid Vacation and Sick Days.
• Sport/Insurance Compensation.
• English Classes.
• Charity and Training Compensation.