Junior Data Engineer
CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa, Praga-Południe
Do uzgodnienia
Wymagania
- Microsoft Azure
- Google Cloud Platform
- AWS
- Python
- SQL
- PostgreSQL
- Microsoft SQL Server
- Apache Spark
- Azure DevOps
- Apache Airflow
Opis stanowiska
Nasze wymagania:
⚠️ 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.
Mile widziane:
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.
O projekcie:
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.
Zakres obowiązków:
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.
Oferujemy:
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
⚠️ 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.
Mile widziane:
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.
O projekcie:
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.
Zakres obowiązków:
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.
Oferujemy:
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
🔍 Dekoder Ogłoszenia
🔴
Minimum 6 months of commercial experience related to data engineering.
Chociaż ogłoszenie jest na stanowisko juniorskie, oczekują już pewnego doświadczenia, co może być wyzwaniem dla osób bez wcześniejszego kontaktu z komercyjnymi projektami.
🔴
This is essential for us to proceed with your application.
Podkreśla, że brak wymaganego doświadczenia jest absolutnym dyskwalifikatorem, nawet jeśli inne umiejętności są mocne.
🟡
General awareness of data modeling, ETL/ELT concepts, and cloud environments.
Może oznaczać, że oczekują podstawowej wiedzy teoretycznej, ale niekoniecznie głębokiego, praktycznego doświadczenia w tych obszarach.
🔴
Curiosity, willingness to learn, and openness to working in dynamic, evolving data projects.
Może sugerować, że projekty są w fazie rozwoju, co wiąże się z częstymi zmianami wymagań i technologii, a także potencjalnie brakiem stabilności.
🟢
At Cloudfide, you’ll start your data engineering career inside real, large-scale projects - not shadow work.
Obiecują angażowanie w faktyczne zadania od początku, ale 'large-scale projects' może oznaczać dużą odpowiedzialność i presję od razu.