Data Engineer (AWS-focused)

About the role

Software Finder, a B2B SaaS marketplace that helps businesses find and compare software solutions, is hiring Data Engineers for its growing Data Engineering team. The role is focused on AWS and covers end-to-end data pipelines, from ingestion and transformation to delivering reliable datasets that support business intelligence, analytics and strategic decision-making.

Key responsibilities

• Design, build, deploy and maintain scalable ETL/ELT pipelines using AWS services.
• Ingest, process and transform data from multiple sources into the data warehouse.
• Write, optimize and maintain complex SQL queries for transformation, modeling, reporting and analytics.
• Develop data models supporting BI dashboards, reporting and business analysis.
• Orchestrate workflows with Apache Airflow, AWS Step Functions or similar.
• Monitor pipeline performance and data freshness, fix failures and improve scalability, observability and cost efficiency.
• Work with Business Intelligence teams to improve data accuracy, consistency and reliability, and resolve bottlenecks and quality issues.
• Use data validation and quality-control practices, and apply AI-assisted tools such as Claude Code.
• Take part in code reviews, follow version-control standards, document pipelines and models, and support broader backend and software engineering initiatives.

Required profile

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology or a related field.
• 2-3 years of professional experience in data engineering or a backend/software engineering role with substantial data work.
• Strong SQL and Python skills; hands-on experience with AWS data services.
• Understanding of data modeling, including normalization and dimensional modeling.
• Ability to troubleshoot data-quality issues, pipeline failures and performance bottlenecks.

Required skills

• AWS data services: S3, Glue, Redshift, Lambda, Athena, EventBridge
• Apache Airflow or AWS Step Functions
• Git and collaborative development workflows
• Preferred: dbt, Terraform, CI/CD with GitHub Actions or AWS CodePipeline, data monitoring and observability, data governance and quality practices, AI coding assistants, interest in broader backend work