Junior Data Engineer (Azure)

TL;DR

Junior Data Engineer (Azure/Databricks): Supporting the development and maintenance of data infrastructure and ETL/ELT pipelines with an accent on medallion architecture and data ingestion. Focus on writing Python and SQL scripts, optimizing data flows, and utilizing AI-powered coding assistants to accelerate development.

Location: Hybrid (Katowice, Poland)

Company

hirify.global is the world's leading tea business, home to iconic brands like Lipton, Pukka, Tazo, T2, Lyons, and PG Tips.

What you will do

• Develop and maintain ETL/ELT data pipelines under the guidance of senior engineers.
• Support the ingestion and processing of enterprise-wide data using a medallion architecture.
• Prepare and deliver clean, reliable datasets for BI developers and data scientists.
• Write and maintain Python and SQL scripts for data transformation and analysis.
• Utilize cloud platform services, specifically Microsoft Azure and Databricks, for storage and processing.
• Apply AI-powered agents and coding assistants to accelerate problem-solving and development.

Requirements

• 0–2 years of experience in data engineering, data analytics, or a related field.
• Bachelor’s degree in Computer Science, IT, Data Science, or a related discipline.
• Basic proficiency in Python and foundational knowledge of SQL and relational databases.
• Basic understanding of ETL/ELT concepts and data pipeline workflows.
• Awareness of cloud computing concepts (Azure, AWS, or GCP).
• Familiarity with version control (Git) and comfort using AI coding assistants like GitHub Copilot or ChatGPT.

Culture & Benefits

• Yearly salary review and annual performance-based bonus.
• Private medical care and employer-paid life insurance.
• Monthly MyBenefit cafeteria points and holiday reimbursement.
• Access to discounted company products.
• Structured onboarding and continuous learning opportunities.
• Collaborative global team environment with regular HUB events.

Hiring process

• The process typically consists of 2-3 stages.
• CV review is aimed to be completed within 2 weeks.