Orca AI is revolutionizing maritime operations with cutting-edge computer vision, augmented reality, and autonomous technologies. Our mission is bold: make ocean shipping safer, more efficient, and significantly greener.

From real-time navigation assistance to AI-driven insights that reduce fuel consumption and prevent collisions, we’re building a future where ships sail smarter. Join our growing team and help shape the next generation of intelligent maritime systems used by leading fleets across the globe.

We are looking for an Analytics Engineer to join Orca’s next-generation big data platform. In this role, you will play a significant part in implementing algorithms and AI-driven logic into our product, helping notify customers about ocean dangers and making maritime voyages safer worldwide.

You will play a central role in building the semantic tables and business logic layer that power advanced product capabilities, real-time notifications, and data-driven decision-making across our platform. Working closely with the Data Science team, you will define high-impact features for their models and integrate algorithms directly into the semantic layer.

This is a temporary position (Maternity leave replacement)

What You’ll Do

• Design and implement business logic and semantic tables that serve as the foundation for advanced platform features.
• Build robust, scalable services that generate real-time notifications for hundreds of ships and fleet managers worldwide.
• Deliver high-quality data products that serve operational systems, algorithms, and human-facing applications.
• Quickly learn Orca’s maritime domain and turn complex data into reliable semantic tables that power product features
• Collaborate closely with data scientists, product teams, and engineers to embed algorithms and AI capabilities into production systems.
• Be a pivotal contributor in a highly professional, impact-driven data team.

• B.Sc. / B.Eng. in Computer Science, Engineering, or an equivalent background.
• 3+ years of experience as an Analytics Engineer or Data Engineer.
• Strong proficiency in Python.
• Advanced SQL skills.
• Ability to translate complex business logic into scalable, maintainable data models.
• Fast learner with the ability to understand complex domains.
• Strong team player with a collaborative mindset.

Nice to Have

• Experience with cloud-based data solutions.
• Hands-on experience with Snowflake.