Technical Data Engineer

We are passionate data engineers who change the way organizations treat data. Since 2008, we’ve delivered high-standard, large-scale analytics projects for 200+ customers — from startups to global enterprises. Now, we’re looking for a technical Data Engineer to join our team and help us drive this vision forward.

As part of our professional services team, you’ll gain rapid, hands-on experience with multiple industries, business models, and high-volume datasets from day one. You’ll work with a modern tech stack — Snowflake, dbt, Rivery, and leading integration tools — to design and deliver data platforms that power analytics and AI.

What you’ll do

• Build and optimize cloud-native data pipelines that handle large-scale, high-volume, and complex datasets across multiple industries.

• Transform, clean, and model data using Snowflake + dbt, ensuring it is AI-ready, scalable, and business-friendly.

• Integrate diverse sources (APIs, SaaS platforms, databases, streaming data) using Rivery and other best-in-class tools.

• Collaborate with clients, analysts, and data scientists to design solutions that deliver trusted insights, automation, and new data products.

• Implement best practices in performance tuning, security, governance, and monitoring to ensure reliability and compliance.

• Drive innovation by bringing fresh ideas and adapting quickly to new business models and data challenges.

• Gain hands-on experience quickly by working on multiple projects across different domains, customers, and industries.

 

What we’re looking for

• B.A/B.Sc degree in Industrial Engineering, Information Systems or an equivalent background.

• One to two years of hands-on experience, working as a data engineer or BI developer (developing data pipelines and ETL processes).

• Excellent SQL and data modeling skills.

• Experience with cloud data platforms (e.g., Snowflake).

• Familiarity with data orchestration tools like Rivery.

• Scripting/programming (Python preferred) is a plus.

• Ability to handle high-volume, complex data environments.

• Curiosity, adaptability, and passion for AI-driven data innovation.

• Proactive, self-learner with strong problem-solving skills and the ability to independently tackle challenges.