Junior Data Engineer (Azure)

TL;DR

Junior Data Engineer (Azure): Design, develop, and optimize data pipelines on cloud platforms with an accent on ETL processes, data ingestion, and SQL optimization. Focus on building scalable data warehouses, integrating multiple data sources via APIs, and ensuring data quality for business analytics.

Company

hirify.global is an independent technology consulting firm providing guidance and solutions to over 1,000 clients globally across diverse business lines.

What you will do

• Design, develop, and support data pipelines and ETL processes on cloud platforms such as Azure, AWS, or GCP.
• Perform data ingestion from multiple sources through APIs, file transfers, and database links.
• Write and optimize SQL queries to improve data performance and accessibility.
• Develop data exports and APIs to support business and analytics needs.
• Collaborate with technical and non-technical stakeholders to translate business requirements into technical solutions.
• Support reporting and dashboard requirements across various business workstreams.

Requirements

• Bachelor’s degree in Computer Science, IT, Data Engineering, or a related field.
• Around 2 years of experience in Data Engineering or related roles.
• Hands-on experience with cloud platforms, specifically Microsoft Azure.
• Proficiency in Python and SQL development.
• Experience with MS SQL, SSIS, and Data Warehousing.
• Knowledge of real-time data processing concepts and database integrations.

Nice to have

• Experience with AWS or GCP.
• Professional proficiency in English.

Culture & Benefits

• International environment with a team representing over 110 nationalities.
• Strong internal growth opportunities, with 70% of leaders starting at entry-level.
• Continuous learning through an internal Academy with over 250 training modules.
• Vibrant culture featuring networking events, after-works, and team camaraderie.
• Meaningful social impact through CSR initiatives and the WeCare Together program.

Hiring process

• Initial brief virtual or phone call to discuss motivations and fit.
• Series of interviews (averaging three) with the line manager and future teammates.
• Technical case study or assessment depending on the specific role requirements.