Role summary
You’ll help design and deliver scalable, high-impact data solutions for enterprise clients.

Key responsibilities

• Design, build, and maintain new and existing data features and pipelines.

• Write clean, efficient, and scalable code.

• Optimize performance and reliability of data workflows and platforms.

• Develop and execute thorough testing; troubleshoot and debug issues.

• Participate in code reviews and mentor junior engineers.

Required qualifications

• Bachelor’s degree in Computer Science or related field (or equivalent experience).

• 3+ years as a Data Engineer.

• Strong experience with relational and NoSQL databases.

• Proficiency in T-SQL and Python.

• Hands-on experience with ETL/ELT pipelines and tools such as SSIS and Azure Data Factory.

• Familiarity with cloud data platforms (e.g., PySpark, Snowflake, Databricks).

• Fluent English, written and spoken.

Nice to have

• Knowledge of Microsoft Fabric.

Benefits

• Competitive compensation package.

• Opportunity to work on cutting-edge projects with industry leaders.

• Ongoing professional development and international training.

• Fully remote working environment.