Junior Data Engineer: Databricks on Azure, Remote

Addepto; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading consulting and technology company in Warsaw is seeking a Junior Data Engineer to design and develop scalable data processing pipelines while working on innovative projects. The ideal candidate has a background in Big Data technologies, particularly Databricks and Apache Spark, along with strong Python programming skills. This role offers flexible work arrangements and opportunities for career growth through training and professional development.

Benefits

Flexible work arrangements

Career development opportunities

Medical and sports packages

Fully paid days off

Team building events

Access to training materials and certifications

Qualifications

• At least 1 year of proven commercial experience developing or maintaining Big Data systems.
• Hands-on experience with Big Data technologies.
• Strong programming skills in Python.
• Experience in data governance and data management processes.
• Experience implementing solutions in cloud environments.
• Knowledge of DevOps practices.
• Excellent understanding of dimensional data.

Responsibilities

• Design scalable data processing pipelines for streaming and batch processing.
• Contribute to CI/CD and MLOps processes.
• Develop applications to aggregate and analyze data.
• Collaborate on Machine Learning projects.
• Develop and organize data transformations.
• Translate business requirements into technical solutions.

Skills

Big Data technologies

Python programming

Data governance

Cloud solutions

DevOps practices

Data modeling

Communication skills

Education

Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics or related field

Tools

Databricks

Apache Spark

Airflow

DBT

Azure

Power BI

Job description

A leading consulting and technology company in Warsaw is seeking a Junior Data Engineer to design and develop scalable data processing pipelines while working on innovative projects. The ideal candidate has a background in Big Data technologies, particularly Databricks and Apache Spark, along with strong Python programming skills. This role offers flexible work arrangements and opportunities for career growth through training and professional development.