Junior Data Engineer (Databricks)

TL;DR

Junior Data Engineer (Databricks): Designing and developing scalable data processing pipelines for streaming and batch systems with an accent on Databricks, Airflow, and cloud infrastructure. Focus on implementing MLOps processes, building robust data platforms, and collaborating on complex analytical projects for global enterprises.

Location: Remote or hybrid (Warsaw, Cracow, Wroclaw, Bialystok)

Salary: 8,400–15,120 PLN (B2B)

Company

hirify.global is a leading AI consulting and data engineering firm providing ROI-focused AI solutions to global enterprises.

What you will do

• Design and maintain scalable streaming and batch data processing pipelines.
• Develop applications for aggregating and analyzing data from diverse sources.
• Collaborate with Data Science teams on ML projects and predictive model building.
• Implement and manage CI/CD and MLOps processes.
• Organize data transformations using Databricks, DBT, and Apache Airflow.
• Translate business requirements into high-performance technical data solutions.

Requirements

• At least 1 year of commercial experience in Big Data systems.
• Hands-on proficiency with Databricks, Apache Spark, Airflow, and DBT.
• Strong Python programming skills with OOP design.
• Experience with cloud environments, preferably Azure.
• Knowledge of DevOps practices, CI/CD, and Terraform.
• Strong understanding of dimensional data and data modeling.
• Bachelor’s or Master’s degree in a quantitative field.

Nice to have

• Experience with Power BI or other data visualization tools.
• Consulting experience or direct client interaction.

Culture & Benefits

• Flexible work arrangements (remote or office-based).
• 20 fully paid days off.
• Access to Databricks training and certification partnerships.
• Medical and sports packages, plus well-being support including therapy.
• Support for personal branding through conferences, blogs, and meetups.
• Full equipment provided for productivity.