We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
We are seeking a Mid-Level Data Engineer to support the build and operation of Azure-based data pipelines. This role focuses on execution, working under the guidance of a Senior Data Engineer and Data Architect to deliver reliable, business-ready datasets.
Responsibilities:
- Build and maintain Azure Data Factory (ADF) pipelines
- Implement SQL-based transformations and data cleansing logic
- Ingest data from APIs, flat files, and relational databases
- Perform data validation, reconciliation, and issue remediation
- Monitor pipeline executions and resolve routine failures
- Document pipelines, transformations, and data logic
- Participate in code reviews and design walkthroughs
Requirements:
- Advanced English level
- Years of data engineering experience
- Hands-on experience with Azure Data Factory
- Solid SQL skills (joins, aggregations, basic performance awareness)
- Experience working with APIs or structured data ingestion
- Familiarity with Azure Data Lake or similar cloud storage
- Ability to follow defined patterns and engineering standards
Nice to Have
- Exposure to financial or operational reporting data
- Experience supporting BI or analytics use cases
- Familiarity with data quality or testing frameworks
- Success Indicators
- Reliable delivery of assigned pipelines and transformations
- Low-defect, well-documented implementations
- Effective collaboration with senior engineers
- Steady ramp-up with decreasing oversight over time
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