Data Engineer (Azure)

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of water monitoring. Our EU client’s platform offers full visibility into water quality, compliance management, and system performance. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Key Responsibilities:
- Create and manage scalable data pipelines with Azure SQL and other databases;
- Use Azure Data Factory to automate data workflows;
- Write efficient Python code for data analysis and processing;
- Ability to develop data reports and dashboards using PowerBI;
- Use Docker for application containerization and deployment streamlining;
- Manage code quality and version control with Git.

Skills requirements:
- 3+ years of experience with Python;
- 2+ years of experience as a Data Engineer;
- Strong SQL knowledge, preferably with Azure SQL experience;
- Experience with Azure Data Factory for orchestrating data processes;
- Python skills for data manipulation;
- Expertise in Docker for app containerization;
- Familiarity with Git for managing code versions and collaboration;
- Upper- intermediate level of English.

Optional skills (as a plus):
- Experience developing APIs with FastAPI or Flask;
- Proficiency in Databricks for big data tasks;
- Experience in a dynamic, agile work environment;
- Ability to manage multiple projects independently;
- Proactive attitude toward continuous learning and improvement.

We offer:

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Team building activities and corporate events.