We are looking for a Data Engineer to design and implement scalable data pipelines that support Generative AI applications. You will work with large-scale datasets, optimize performance, and ensure seamless data integration across AI workflows.

Responsibilities:

Design and develop scalable data pipelines to support AI/ML models.
Work with structured and unstructured data for training and inference.
Optimize ETL workflows for real-time and batch processing.
Ensure data quality, governance, and security in cloud environments.
Collaborate with AI/ML engineers to streamline data workflows.
Deploy and manage data infrastructure on AWS, GCP, or Azure.

Requirements:

4+ years of experience in Data Engineering and Big Data technologies.
Expertise in ETL pipelines, data warehousing, and distributed computing.
Strong knowledge of SQL, NoSQL, and data lakes.
Experience with cloud-based data services (AWS Glue, BigQuery, Azure Data Factory).
Proficiency in Python, Spark, Kafka, Airflow.
Experience with CI/CD, DevOps, and Agile methodologies.

What You’ll Get at Uvik:

Generous paid time off: 18 vacation days + 12 sick leaves annually.
Flexibility: manage your schedule, work fully remote, and keep a healthy work-life balance.
Challenging projects: work with global clients and the latest technologies.
Growth opportunities: we invest in your development and support career advancement.
Competitive salary in a fast-growing international company.