Data Engineer at Smartly, a Datacom Company

Setup: Remote, Hybrid
Location: Lower Hutt, Wellington · Waitematā, Auckland
Type: Full-time
Posted: Jun 15, 2026

Description

Smartly, a FinTech company specializing in payroll solutions, is seeking a Data Engineer to join their team. The successful candidate will be responsible for building, maintaining, and improving data pipelines and datasets to support analytics and decision-making. This role involves close collaboration with various internal teams, ensuring data reliability and structure. The ideal candidate will possess strong SQL and Python skills, be proficient in modern software engineering practices, and be adaptable to AI-assisted development.

Required Skills

SQL
Python
Git
CI/CD
cloud infrastructure
relational databases
data modeling

Additional Information

Required Previous Experiences: 3+ years’ experience in a data engineering, analytics engineering, or similar role.
Preferred Qualifications: Strong SQL skills, with experience writing complex and performant queries.
Strong Python skills, particularly for data transformation, automation, and pipeline development.
Experience using Git or similar version control systems in a team environment.
Familiarity with CI/CD practices, including automated testing and deployment workflows.
Working knowledge of cloud infrastructure concepts (e.g. compute, storage, permissions), ideally within a modern cloud platform.
Experience working with relational databases and analytical data stores.
Familiarity with data modelling concepts for analytics (e.g. fact and dimension tables).
Comfortable working hands-on and owning data tasks end-to-end with appropriate support.
Able to collaborate effectively with analysts, data scientists, and software engineers.
Curious and proactive, with a desire to improve data quality and engineering practices.
Clear communicator, able to explain data issues and solutions to both technical and non-technical stakeholders.