Junior Data Engineer

About Fourth

Role overview

Pipeline development

• Build and maintain batch ETL/ELT pipeline components using Microsoft Fabric and Azure Data Factory under senior engineer guidance.
• Write documented T-SQL and Python/PySpark for scoped tasks and follow team coding standards.
• Contribute to Bronze and Silver layer builds within the Medallion Architecture; work is reviewed before production.

Data quality and collaboration

• Write and run basic data validation checks and automated pipeline tests.
• Document work with naming, lineage notes, and README-level context; flag data quality issues.
• Work with Data Analysts to understand downstream uses of pipeline outputs.
• Seek and act on code review feedback and participate in team standards discussions.

Growth and development

• Take on larger, less-scoped pipeline work as competence develops.
• Build working proficiency with Git-based version control and CI/CD basics for data assets.
• Use AI-assisted development tools under guidance and verify their output.

Candidate qualifications

• Suitable for early-career professionals or candidates with up to 2 years of relevant experience, including academic or personal projects.
• Working knowledge of SQL and Python; basic knowledge of relational databases and data modeling; exposure to a cloud platform.
• Familiarity with Git or another version control system and proficiency in spoken and written English.
• A relevant degree is preferred, but equivalent demonstrable experience is considered.
• Preferred: exposure to Microsoft Fabric, Azure Data Factory, or Synapse; dbt or another transformation framework; Apache NiFi, Fivetran, or Boomi; or Power BI and other BI tools.
• Preferred: data pipeline or ETL project, coursework, or internship experience; experience with AI productivity tools.

Benefits and development

• The role offers mentorship, hands-on experience on Fourth's Azure and Microsoft Fabric platform, and a milestone-based progression route.
• The team is building a data foundation for business AI initiatives.
• Holidays are listed as a benefit.