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Offer summary
(Summary generated by AI based on the full job description)
Project focuses on building cloud data platforms and lakehouse solutions for international clients, including Fortune 500. Core technologies are Azure, Python and SQL, optionally Databricks / Spark and orchestration tools like Airflow. Responsibilities include building and maintaining data pipelines and models, supporting ETL/ELT implementations, data quality checks, testing and monitoring, and collaborating with engineers and clients on requirements. Offer emphasizes professional growth, a 2 000 PLN annual training budget and private medical care Enel‑Med.
from: 9 November 2026
to: 9 December 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of mandate
Salary details
basic salary
Offer parameters
level:junior
working mode:remote
Warszawa, Praga-Południe
Requirements
Expected technologies
Microsoft Azure
Google Cloud Platform
AWS
Python
SQL
Optional technologies
PostgreSQL
Microsoft SQL Server
Apache Spark
Azure DevOps
Apache Airflow
Our requirements
- ⚠️ Absolutely required:
- Minimum 6 months of commercial experience related to data engineering.
- 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.
Optional
- 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.
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.
About the project
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.
This is how we organize our work
This is how we work
in houseat the client's siteyou focus on a single project at a timeyou develop several projects simultaneouslyyou can change the projectyou have influence on the technological solutions appliedyou have influence on the productyou develop the code "from scratch"you focus on product developmentagilescrum
This is how we work on a project
- Clean Code
- code quality measures
- code review
- design patterns
- static code analysis
- architect / technical leader support
- Continuous Deployment
- Continuous Integration
- DevOps
- SysOps
- team-level deployment
- documentation
EQUAL OPPORTUNITY
CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
What we offer
- Benefits:
- MyBenefit / Multisport
- Enel‑Med private medical care
- Professional Growth:
- Annual 2,000 PLN development budget
- Access to premium e-learning platforms
- Real opportunities to grow your responsibilities and transition to mid-level roles
- Work Environment:
- Long-term collaboration (UZ or B2B)
- Remote-first, work from anywhere (workation)
- Flexible hours & focus on work-life balance
- Work with experienced engineers who support your development
- Flat structure — you have a voice and contribute directly to how we work
- Culture & Integration:
- Company-wide trips (including international offsites)
- Team integration budgets
- Friendly, supportive, and collaborative team environment
Recruitment stages
- 1.Task
- 2.Screening
- 3.Tech Interview
- 4.HR Interview
CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
At CLOUDFIDE, we do everything with data and contribute to pivotal projects for Fortune 500 companies. This is your chance to enhance your skills and leave your global footprint.
Our collaborative culture champions your professional growth. Dive into cloud data processing, gain hands-on big data experience, and leverage our team's expertise to drive your professional growth.
Here you'll have an opportunity to use advanced technologies to shape client strategies. With CLOUDFIDE, you can amplify your career alongside the industry's best.
Junior Data Engineer
I apply to:
CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Warszawa, Praga-Południe
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