Senior Data Engineer - Azure & Databricks

InventYOU ABAthens, AtticaOn-siteFull-timeSenior, 5–8 yearsListed 58 minutes ago

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About this role

We are looking for an experienced Senior Data Engineer to design and deliver scalable data solutions and reusable data products using Microsoft Azure and Databricks .

You will work across modern data pipelines, Lakehouse architectures, data modeling, data quality, governance, and performance optimization.

Key Responsibilities

- Design, develop, test, and maintain data pipelines using Azure Data Factory and Azure Databricks
- Build and optimize Azure SQL, Data Lake, and Lakehouse solutions
- Develop reusable data products and data models
- Implement data quality controls, monitoring, and operational support
- Develop and optimize solutions using PySpark and Spark SQL
- Work with Delta Lake and Unity Catalog
- Apply security, access control, governance, and performance standards
- Collaborate with analytics, architecture, governance, security, and engineering teams
- Contribute through Git, DevOps, automated testing, and CI/CD practices

Requirements

- 5+ years of relevant professional experience
- Strong experience with Azure Data Factory
- Strong experience with Azure Databricks
- Experience with Azure SQL
- Strong knowledge of PySpark and Spark SQL
- Experience with Delta Lake
- Strong data modeling skills
- Experience with data quality management
- Experience working within Agile environments
- Practical experience with Git, DevOps, and CI/CD pipelines
- Proficiency in Greek and English

Nice to Have

- Power BI
- Collibra
- Soda
- Delta Live Tables

You will be a great candidate for us if you

- Enjoy building scalable modern data platforms
- Have strong data engineering and analytical skills
- Care about data quality, performance, security, and governance
- Enjoy collaborating across engineering, analytics, and business teams

Benefits

Why join inventYOU

- Work with Azure, Databricks, PySpark, and modern Lakehouse technologies
- Build enterprise-scale data solutions and reusable data products
- Collaborate with experienced data and technology professionals
- Continue developing your expertise in modern cloud data engineering