Senior Full Stack Developer

About the role

Vestas is seeking an experienced Data Engineer to design, develop, and maintain scalable Azure-based data pipelines while enforcing robust data quality controls, validation frameworks, and operational monitoring. The role will be responsible for implementing quality gates across the data lifecycle to ensure accuracy, completeness, consistency, reliability, and governance of enterprise data products.

What you'll do

• Design, develop, and maintain enterprise-scale data pipelines using Azure services
• Build and optimize ETL/ELT workflows using Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage (ADLS)
• Implement automated data quality checks, validation frameworks, and quality gates across ingestion, transformation, and consumption layers
• Develop reconciliation processes between source and target systems
• Perform data profiling, data completeness checks, schema validation, and anomaly detection

What you need

• 6–10 years in software engineering
• SQL
• Kafka
• ETL
• Azure
• Spark
• Azure Data Factory
• Any graduate

Good to have

• Root cause analysis
• CI/CD
• Databricks
• Reconciliation
• Data warehousing
• Data modelling