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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Engineer. In this critical role, you will lead a Data Engineering team to architect scalable data infrastructures that drive our mission for clean energy. This position encompasses mentoring talented engineers, designing robust data solutions aligned with strategic clean energy initiatives, and establishing technical standards throughout the organization. Collaborating with teams across Analytics, Business Intelligence, and Product, you'll transform business needs into effective data platforms utilizing cutting-edge technologies. This role is ideal for someone who is passionate about addressing complex technical challenges while positively impacting the environment.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Accountabilities
- Design, develop, and optimize data architecture and pipelines aligned with ETL/ELT principles.
- Architect workflows using DBT to convert raw data into actionable analytics.
- Maintain production data pipelines with Python, DBT, Matillion, and Snowflake.
- Leverage AI tools to enhance coding efficiency and team productivity.
- Establish data engineering best practices and technical standards.
- Lead design reviews and provide architectural guidance.
- Optimize Snowflake performance and manage data costs.
- Evaluate new tools and technologies to improve data capabilities.
- 8+ years of professional data engineering experience, including 3 years in a senior role.
- Expertise in Snowflake architecture and optimization.
- Advanced proficiency in Python and data pipeline development.
- Experience with DBT for building production data models.
- Hands-on experience with Matillion for ETL/ELT orchestration.
- Track record of mentoring engineering teams and driving initiatives.
- Strong understanding of data modeling and ETL/ELT best practices.
- Proficiency in SQL for complex query optimization.
- Experience with Git and CI/CD in production environments.
- Excellent problem-solving and debugging skills.
- Compensation commensurate with experience.
- Robust benefits package.
- Minimal travel required for team off-site meetings.
- Opportunity to work with a mission-driven team.
- Inclusive and diverse work environment.
- Continuous learning and professional development opportunities.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
Ranked by relevance
ai
ai tools
python
artificial intelligence
gdpr
cicd
git
sql
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- Posted
- Feb 17, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Estonia
- Company
- Jobgether
Industries
Internet Marketplace Platforms
Categories
Information Technology
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