Junior Data Engineer

Quick Facts

• Role: Junior Data Engineer

Description

Join a fast-growing team to support the development and maintenance of cloud-based data pipelines and data models, primarily on Azure. You’ll work with senior engineers to implement best practices like testing, monitoring, and documentation while contributing to data transformation and processing tasks. The role provides hands-on learning across modern Big Data, AI/ML, and data lakehouse architectures.

Responsibilities

• Assist in building and maintaining cloud data pipelines and data models (Azure)

• Support data engineering best practices: quality checks, documentation, testing, monitoring

• Collaborate with senior engineers on data transformation, processing, and optimization

• Participate in discussions with clients and internal teams to understand requirements

• Contribute to robust, scalable cloud data solutions

• Continuously learn new technologies, cloud services, frameworks, and methodologies

Requirements

• Minimum 6 months of commercial experience related to data engineering or a closely related technical data role

• Hands-on experience with data transformation, SQL development, ETL, cloud tools, and scripting

• Familiarity with at least one cloud platform (Azure preferred; AWS/GCP welcome)

• Knowledge of Python for data processing

• Solid understanding of SQL and relational databases

• General awareness of data modeling and ETL/ELT concepts and cloud environments

• Curiosity and willingness to learn in dynamic, evolving projects

• Strong communication and proactive problem-solving mindset

Nice to Have

• Exposure to Databricks, Spark, or PySpark

• Familiarity with Airflow or other orchestration tools

• CI/CD experience (Azure DevOps, GitHub Actions)

• Any experience with cloud-based analytics or data pipelines

Benefits

• MyBenefit / Multisport

• Enel-Med private medical care

• PLN 2,000 annual development budget

• Access to premium e-learning platforms

• Opportunities to take on more responsibility and transition to mid-level roles

• Long-term collaboration (UZ or B2B)

• Remote-first, work from anywhere (workation)

• Flexible hours and work-life balance