Junior Data Engineer (Cloud)

TL;DR

Junior Data Engineer (Cloud): Developing and maintaining data ingestion pipelines and ETL/ELT processes with an accent on data quality and cloud platform integration. Focus on building optimized data models and troubleshooting complex data-related issues across distributed systems.

Company

hirify.global is an independent technology consulting firm providing guidance and solutions to over 1000 global clients across multiple business lines.

What you will do

• Develop and maintain data ingestion pipelines from multiple data sources.
• Support the design and execution of ETL/ELT processes.
• Build and optimize data models and datasets.
• Work with cloud-based data platforms such as AWS, Azure, or GCP.
• Ensure data quality, consistency, and integrity across systems.
• Collaborate with engineers, analysts, and stakeholders to document best practices.

Requirements

• 0–2 years of experience in Data Engineering, Data Analytics, or a related field.
• Basic understanding of ETL processes and data pipelines.
• Knowledge of SQL and relational databases.
• Good communication skills in English.

Nice to have

• Familiarity with Python or other scripting languages.
• Exposure to cloud platforms (AWS, Azure, or GCP).

Culture & Benefits

• Opportunity to work on real-world data projects with international clients.
• Exposure to modern data technologies and cloud environments.
• Continuous learning through training and mentoring.
• Dynamic, collaborative, and multicultural work environment.

Hiring process

• Brief virtual or phone call to understand motivations and fit.
• Average of three interviews with line managers and team members.
• Technical assessment or case study depending on the position.