Junior Data Engineer — Remote | Azure, Power BI, ETL

Addepto; United States; Remote; USD 65,000 - 90,000; Full time

Benefits offered by this job

Remote work options

Databricks training partnership

Career paths

Language classes

Conferences and training budgets

Team-building events

Medical and wellness packages

Equipment provided

Brand building support

Job summary

Addepto is seeking a Junior Data Engineer to join a team delivering Azure-based data platforms and analytics solutions. You will design data models, develop ETL pipelines, and create Power BI visuals for business insights.

The role emphasizes hands-on work with Databricks, SQL, Python, and cloud services, with remote-friendly arrangements and opportunities to grow within a global AI/data engineering environment.

Qualifications

• Bachelor’s degree in technical, mathematical, or economic fields.
• 1.5 years of experience in Data Warehouse, BI, or Big Data systems.
• Proficiency in SQL and Python for data processing.
• Experience with Power BI for data visualization.
• Solid understanding of Azure services for cloud data solutions.
• Excellent command of English (C1).

Responsibilities

• Write advanced SQL queries and develop database procedures.
• Create data visualizations using Power BI for actionable insights.
• Design and develop ETL processes, Data Warehouses, Data Marts, and Data Lakes.
• Gather and analyze requirements to design logical and physical data models.
• Deploy data applications using Docker, Kubernetes, and GitHub.
• Take ownership of tasks and contribute to project and product development.

Skills

SQL

Python

Power BI

Azure

Docker

Kubernetes

GitHub

CI/CD

Data modeling

English

Education

Bachelor’s degree

Tools

Databricks

Job description

Addepto is seeking a Junior Data Engineer to join a team delivering Azure-based data platforms and analytics solutions. You will design data models, develop ETL pipelines, and create Power BI visuals for business insights.

The role emphasizes hands-on work with Databricks, SQL, Python, and cloud services, with remote-friendly arrangements and opportunities to grow within a global AI/data engineering environment.