Backend Engineer (Data Engineering)

TL;DR

Backend Engineer (Data): Building and maintaining scalable, reliable data pipelines and analytical schemas for a renewable energy startup with an accent on data migration, transformation, and quality. Focus on designing intuitive data models, ensuring data consistency, and supporting analytics and product needs.

Company

hirify.global is a renewable energy startup building a fully integrated energy company and a decentralised platform of smart devices to deliver terawatts of renewable energy.

What you will do

• Build and maintain scalable, reliable data pipelines.
• Design and evolve analytical schemas, translating business logic into structured data models.
• Migrate and transform data from Postgres into Clickhouse.
• Develop and maintain DBT models for data accessibility.
• Implement tests and data quality checks to ensure reliable datasets.
• Identify duplicates, improve consistency, and enforce clean modeling standards.

Requirements

• 3+ years of experience as a Backend Engineer or in a data-focused engineering role.
• Proficiency in Python and SQL, with the ability to write clean, efficient code and queries.
• Hands-on experience working with relational databases, particularly Postgres.
• Experience designing schemas and building data models.
• Familiarity with DBT or similar data transformation frameworks.
• Strong understanding of data validation, testing, and quality assurance practices.

Nice to have

• Familiarity with cloud-based data infrastructure or data orchestration tools.
• Experience with CI/CD practices for data pipelines and transformations.

Culture & Benefits

• Competitive salary and an equity sign-on bonus.
• Biannual bonus scheme.
• Fully expensed tech.
• Paid annual leave.
• Breakfast and dinner allowance for office-based employees.