Data Engineer – Feature Store Specialist
Istanbul, Istanbul, Türkiye
Orion Innovation
Orion delivers digital transformative business solutions rooted in digital strategy, experience design, and engineering, enabling our clients with digital transformation to operate with agility at scale.Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Job Description:
We are seeking an experienced Data Engineer with a strong focus on Feature Store architecture and implementation to join our team for a 6–9 month project. You will play a key role in designing and implementing a centralized Feature Store to support machine learning pipelines across batch and real-time use cases.
Key Responsibilities:
- Lead the design and hands-on implementation of a centralized Feature Store using Feast, Tecton, or custom solutions
- Develop and maintain scalable data pipelines using Spark, Beam, or similar technologies
- Enable real-time and batch data ingestion, transformation, and feature serving
- Work closely with ML and MLOps teams to support model training and inference use cases
- Ensure strong data modeling practices tailored for machine learning workflows
- Maintain documentation and best practices for long-term maintainability
Required Skills:
- Experience with Feature Store technologies (e.g., Feast, Tecton, Vertex AI Feature Store internals)
- Hands-on experience in data pipeline development using Spark, Apache Beam, or similar frameworks
- Knowledge of stream processing tools (e.g., Kafka, Google Pub/Sub)
- Strong SQL skills and data modeling experience for ML applications
- Familiarity with cloud-native data architectures (GCP preferred)
Nice to Have:
- Experience integrating custom feature stores with Vertex AI or other cloud-native ML platforms
- Prior work in high-scale production ML systems
- Familiarity with MLOps concepts and tooling
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data pipelines E-commerce Engineering GCP Industrial Kafka Machine Learning MLOps Model training Pipelines Privacy Spark SQL Vertex AI
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