Senior Data Engineer — Pipelines, Databricks & Dashboards

GlobalLogic Inc.; Kraków; On-site; PLN 240,000 - 400,000; Full time

Job summary

GlobalLogic is seeking a Senior Data Engineer to build and optimize data pipelines and create data models for analysis and dashboards. You will collaborate with developers, analysts, and product owners to ensure data is clean, reliable, and optimized for reporting.

This role offers an opportunity to work in a dynamic team, drive improvements in complex environments, and influence data architecture practices across projects, with exposure to Databricks, Snowflake, and visualization tools.

Qualifications

• Proven experience in data engineering or related roles.
• Hands-on experience with Databricks and Snowflake.
• Proven experience with SQL and Python.
• Strong understanding of ETL processes and automation.

Responsibilities

• Pipeline Development: Develop and maintain data pipelines.
• Data Quality: Create and schedule jobs to produce clean, reliable, and well-structured data tables.
• Collaboration: Collaborate with developers, analysts, and product owners to ensure data is optimized for reporting and visualization.
• Architecture & Strategy: Recommend best practices for data architecture, performance, and maintenance.
• Visualization: Design and build dashboards to support data visualization and reporting.

Skills

Data pipeline design

Data modeling

Analytical thinking

English communication (B2+)

Tools

Databricks

Snowflake

SQL

Python

ETL automation

PowerBI

ADX

Job description

GlobalLogic is seeking a Senior Data Engineer to build and optimize data pipelines and create data models for analysis and dashboards. You will collaborate with developers, analysts, and product owners to ensure data is clean, reliable, and optimized for reporting.

This role offers an opportunity to work in a dynamic team, drive improvements in complex environments, and influence data architecture practices across projects, with exposure to Databricks, Snowflake, and visualization tools.