Senior Data Engineer

TL;DR

Senior Data Engineer (Data): Designing and implementing scalable, reusable, and high-quality data products using technologies such as Data Factory, Data Lake, Synapse, and Databricks with an accent on advanced analytics, reporting, and data-driven decision-making. Focus on optimizing data storage, retrieval, and processing for performance and scalability.

Location: Wroclaw, Poland

Company

hirify.global is a global jewelry manufacturer undergoing a major transformation, moving from IaaS-based solutions to a modern Azure PaaS data platform.

What you will do

• Design, develop, and maintain scalable ETL processes and data pipelines.
• Collaborate with product owners, architects, and cross-functional teams to translate business and product requirements into technical solutions.
• Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance.
• Optimize data storage, retrieval, and processing for performance and scalability.
• Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.

Requirements

• 5+ years of experience as a Data Engineer, with a strong track record of designing, building, and delivering production-ready data products at enterprise scale.
• Proficiency in Python, SQL, and relevant programming languages.
• Production experience with Azure Synapse Analytics, Databricks, and PySpark.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).
• Solid understanding of ETL processes, data warehousing, and database management (PostgreSQL, MySQL, MongoDB, etc.).
• Strong analytical thinking and problem-solving skills.

Culture & Benefits

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