Junior Data Engineer (SaaS)

TL;DR

Junior Data Engineer (Python/SQL): Supporting the development of data pipelines and systems used across hirify.global with an accent on ETL/ELT processes and analytical modeling. Focus on building reliable data solutions, monitoring pipelines, and collaborating with stakeholders to deliver datasets for reporting.

Location: Hybrid (Tallinn, Estonia)

Company

A leading CRM platform helping small and medium-sized businesses grow and succeed.

What you will do

• Support building and maintaining data pipelines and integrations, including ETL/ELT, APIs, and event streams.
• Design and implement analytical models using SQL, Python, and dbt.
• Collaborate with stakeholders to understand data needs and deliver datasets for reporting and analysis.
• Monitor data pipelines and assist in troubleshooting and resolving technical issues.
• Contribute to the improvement of data workflows, documentation, and team practices.
• Participate in code reviews and apply data engineering best practices under team guidance.

Requirements

• Basic experience with SQL and a solid understanding of data modelling concepts.
• Programming experience, preferably with Python.
• Understanding of data pipelines or a strong interest in learning their architecture.
• Familiarity with or interest in modern data tools such as dbt and Airflow.
• Understanding of basic software development practices, including version control and testing.
• English: Proficiency required (resume must be submitted in English).

Nice to have

• Experience with cloud platforms, specifically AWS.
• Exposure to distributed data processing tools like Spark, Flink, or Kafka.
• Experience using AI-assisted development tools.
• Relevant education or practical experience in finance or marketing domains.

Culture & Benefits

• People-first culture that values authenticity, collaboration, and an inclusive environment.
• Opportunity to experiment with the latest technologies as part of an AI First Vision.
• Flexible working hours, wellness perks, and performance-based bonuses.
• Comprehensive leave policy including 28 paid days, well-being days, and compassionate leave.
• Strong focus on professional growth through mentorship, coaching, and internal mobility.