Data Engineer, AI & Cloud

About the role

Keyrus is looking for a Data Engineer focused on AI and Cloud to design, build, and maintain reliable data pipelines and data products that support analytics, enterprise applications, and intelligent systems.

Key responsibilities

• Design, develop, and operate production data pipelines, data models, and reusable data products for analytics, AI solutions and enterprise applications.
• Implement ETL/ELT processes integrating structured and unstructured data from databases, APIs, files and other sources.
• Apply data quality, testing, monitoring, lineage and security practices to ensure reliable production data.
• Prepare enterprise data for AI use cases such as retrieval‑augmented generation, embeddings and evaluation datasets.
• Manage and optimise cloud‑based data solutions for scalability, performance, reliability and cost.
• Collaborate with AI Engineers, Software Engineers, Architects and client teams to deliver reliable data integrations.

Required profile

• Hands‑on experience building and maintaining production data pipelines and ETL/ELT processes.
• Strong understanding of data engineering best practices, performance, reliability and version control.
• Excellent communication skills to explain technical ideas and work with clients and internal teams.

Required skills

• Strong SQL skills for complex queries, data modelling and validation.
• Proficiency in Python (or similar production programming language).
• Experience with at least one major cloud data platform (Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift).
• Familiarity with data processing/orchestration tools such as Spark, dbt, Airflow.

What we offer

• 100% remote work.
• International and multicultural projects.
• Opportunities to work with leading Data, Cloud and AI technologies.
• Access to training programs and continuous professional development.
• Professional growth and internal mobility within a collaborative culture.