Junior Data Engineer

Description

Summary: We are seeking a Junior Data Engineer with foundational T-SQL, ETL, and Microsoft Data Factory/Fabric skills to support daily data operations and contribute to a production environment under senior guidance. Highlights: 1. Opportunity for early career growth in data engineering 2. Contribute to a production-grade data environment 3. Continuous learning and skill expansion opportunities **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 YOU’LL 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** We’re based in Porto, Portugal. Although there is the possibility of remote working, we are only considering people located in Portugal.