Data engineer in cloud

At Cloudfide, you’ll start your data engineering career inside real, large-scale projects - not shadow work. We build cloud-native data platforms, process massive datasets, and work with international clients, including Fortune 500 and leading retail organizations. You’ll work with modern cloud technologies, learn from outstanding engineers, and contribute to projects involving Big Data, AI/ML, Databricks, and advanced data lakehouse architectures. We’re growing fast - and you can grow with us. As a Junior Data Engineer, you will support the development of modern cloud data solutions, collaborate with experienced engineers, and gain exposure to the full lifecycle of data engineering projects.

• Assisting in building and maintaining data pipelines and data models in cloud environments (Azure is our main stack).
• Supporting the implementation of data engineering best practices (quality checks, documentation, testing, monitoring).
• Working with senior engineers on tasks related to data transformation, processing, and optimization.
• Participating in discussions with clients and internal teams to understand requirements.
• Contributing to the development of robust, scalable cloud data solutions.
• Learning continuously - new technologies, cloud services, frameworks, and project methodologies.

• Minimum 6 months of commercial experience related to data engineering or a closely related technical data role.
• Hands-on experience with data-related work (e.g., data transformation, SQL development, ETL, cloud tools, scripting).
• Familiarity with at least one cloud platform - Azure preferred; AWS/GCP also welcome.
• Knowledge of Python for data processing tasks.
• Solid understanding of SQL and relational databases.
• General awareness of data modeling, ETL/ELT concepts, and cloud environments.
• Curiosity, willingness to learn, and openness to working in dynamic, evolving data projects.
• Strong communication, problem‑solving attitude, and a proactive mindset.
• Будет плюсом: Exposure to Databricks, Spark, or PySpark; Familiarity with Airflow or other orchestration tools; Experience with CI/CD (Azure DevOps, GitHub Actions); Any experience in cloud-based analytics or data pipelines

• Access to top e‑learning platforms and development budget
• Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
• Long-term collaboration via B2B/UZ - we value lasting partnerships
• Remote-first
• Flexible hours
• Work alongside exceptional engineers and experts
• Flat structure where every person matters and influences the company
• Full-company integration trips (including international ones)
• Team-level integration budgets
• Open, supportive, and collaborative culture