Junior Data Engineer
Location
Scope
Contract
Salary
Why Join Us
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.
Opportunity overview
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.
Expect hands-on learning, meaningful work, and a supportive environment where asking questions is welcome - and growth is expected.
Your Responsibilities
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.
What We’re Looking For
⚠️ Absolutely required:
Minimum 6 months of commercial experience related to data engineering or a closely related technical data role.
This is essential for us to proceed with your application.
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.
Nice to Have
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.
Here's why you'll love Cloudfide
Benefits:
Professional Growth:
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
Work Environment:
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
Culture & Integration:
Full-company integration trips (including international ones)
Team-level integration budgets
Open, supportive, and collaborative culture
Equal opportunities
CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
