Custom Software Engineer

About the role

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. As a Data Engineer, you will design, build, and maintain scalable data solutions that enable reliable data ingestion, transformation, and analytics across the organization.

What you'll do

• Act as a Subject Matter Expert (SME) for data engineering solutions, with a strong focus on dbt-based transformation frameworks and Python-driven pipelines
• Collaborate with, guide, and manage the team to deliver high-quality data engineering outcomes
• Own and drive technical decisions for the team and contribute to broader architectural and design decisions across multiple teams
• Design, develop, and maintain scalable and reliable data pipelines using dbt, Python, and modern data platforms
• Lead initiatives to identify, analyze, and resolve complex data-related challenges, ensuring seamless data flow and accessibility

What you need

• 5–9 years in software engineering
• Git
• ETL
• Machine learning
• LLMs
• Data warehousing
• Python
• Any graduate

Good to have

• Snowflake
• Databricks
• dbt
• Data modelling