Azure Data Engineer — Flexible Hours, Growth & People-First

Adentis Portugal; Lisboa; Hybrid; EUR 42,000 - 64,000; Full time

Benefits offered by this job

Great Work-Life balance

Very flexible organizational routine

Health benefits

Continuous professional development

Comprehensive career plan

Job summary

A growing technology firm in Lisbon is seeking a Data Engineer to design and manage data architecture solutions on Microsoft Azure. The ideal candidate will have a Bachelor's degree in a relevant field and proven expertise with Azure tools such as Azure Data Factory and Azure Databricks. Responsibilities include building ETL pipelines, collaborating with data scientists, and ensuring data quality. A good work-life balance and flexibility are key benefits of this role.

Qualifications

• Proven experience as a Data Engineer or similar role with Azure cloud platform focus.
• Hands-on experience with Azure Data Factory, Azure Databricks, and SQL Server Integration Services (SSIS).
• Strong proficiency in SQL and experience with NoSQL databases.

Responsibilities

• Design, implement, manage data architecture solutions on Microsoft Azure.
• Build scalable ETL pipelines using Azure Data Factory or Azure Databricks.
• Document data architecture, processes, and workflows for knowledge sharing.

Skills

Data modeling

SQL proficiency

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

NoSQL databases

Cloud computing concepts

Analytical skills

Communication skills in English

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

SQL Server Integration Services (SSIS)

Job description

A growing technology firm in Lisbon is seeking a Data Engineer to design and manage data architecture solutions on Microsoft Azure. The ideal candidate will have a Bachelor's degree in a relevant field and proven expertise with Azure tools such as Azure Data Factory and Azure Databricks. Responsibilities include building ETL pipelines, collaborating with data scientists, and ensuring data quality. A good work-life balance and flexibility are key benefits of this role.