Junior Data Engineer

Description

Full-time B2B/UZ

What we offer

• MyBenefit / Multisport

• Enel‑Med private medical care

• Professional Growth:Annual 2,000 PLN development budgetAccess to premium e-learning platformsReal opportunities to grow your responsibilities and transition to mid-level roles

• 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 balanceWork with experienced engineers who support your developmentFlat structure — you have a voice and contribute directly to how we work

• 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 budgetsFriendly, supportive, and collaborative team environment

• Company-wide trips (including international offsites)

• Team integration budgets

• Friendly, supportive, and collaborative team environment

Opis roli

• 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.

Wynagrodzenie

• undisclosed salary

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.

Sekcja 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.

Sekcja 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.

Informacje dodatkowe

• CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Sekcja what we re looking for

• 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.