Junior Data Engineer

THE ROLE

We are looking for a Junior Data Engineer with foundational skills in T-SQL ETL concepts and Microsoft Data Factory/Fabric to support daily operations at database and data lake level.

In this role you will execute well-defined data tasks follow established runbooks and help ensure that pipelines transformations and datasets run reliably. This position is ideal for someone early in their data engineering journey who is eager to learn grow and contribute to a production-grade environment with close guidance from senior team members.

WHAT YOULL BE DOING

Pipeline Operations & Monitoring

Run and monitor Microsoft Data Factory/Fabric pipelines and workflows escalating issues when necessary.

Assist with reviewing pipelines and dataflows in Azure Data Factory/Fabric.

Data Exploration & Transformation

Use Microsoft Data Factory/Fabric (Lakehouse Warehouse Notebooks) for simple data exploration and operational tasks.

Apply basic SQL (filters joins aggregations) for straightforward data checks and transformations.

Perform simple PySpark transformations as part of routine processing.

Work with Delta Lake tables understanding ACID properties and versioning at a basic level.

Operational Execution & Data Quality

Execute operational tasks across databases and data lakes following established procedures and runbooks.

Collaborate with teammates to maintain data quality and troubleshoot issues.

Governance & Continuous Learning

Follow established best practices documentation and governance guidelines.

Learn continuously and expand capabilities across Fabric ETL tooling SQL and orchestration.

SELECTION CRITERIA

Basic T-SQL skills (filters joins aggregations).

Understanding of ETL fundamentals data quality basics and ability to follow established runbooks.

Introductory exposure to dbt (models sources).

Basic understanding of Microsoft Data Factory/Fabric (pipelines dataflows lakehouses etc.).

Ability to create and monitor Microsoft Data Factory/Fabric pipelines.

Ability to execute simple PySpark transformations.

Understanding of Delta Lake fundamentals (ACID time travel versioning).

Asks clarifying questions when unsure.

Communicates blockers early and proactively.

Open to feedback and eager to learn.

Works effectively with close guidance.

Demonstrates basic ownership and reliability.

PERKS

• Fully Remote or Hybrid Work System (you decide!)
• Meal Allowance: 10.46 per day (via card)
• 15th Month Bonus Salary Policy
• 4 extra vacation days
• Participation in International Projects
• Health Insurance (Advance Care - for you spouse and children)
• Life Insurance
• Company-Paid Certifications
• Team Building Activities
• Innovative & Young Culture

LOCATION

Were based in Porto Portugal. Although there is the possibility of remote working we are only considering people located in Portugal.