Databricks Data Engineer — Global E-Commerce Pipelines

OBI Smart Technologies Poland; Katowice; Hybrid; PLN 145,000 - 246,000; Full time

Benefits offered by this job

Motivizer Benefits Platform

Language Courses

Regular training opportunities

Networking events

Job summary

OBI Smart Technologies Poland is seeking a Databricks Data Developer to build and optimize scalable data pipelines and architectures across an international e-commerce ecosystem. You will contribute to the data engineering foundation supporting marketplace and retail data, collaborating with Digital Business, Analytics, Product Management and IT teams.

You will design, develop, and maintain ETL/ELT pipelines, implement Delta Lake on Databricks, and develop robust data models to ensure data

Qualifications

• Degree in Computer Science, Software Engineering, Data Engineering, or similar quantitative field.
• Several years of professional experience in Data Engineering or Data Platform Development, preferably in e-commerce or digital commerce.
• Strong hands-on expertise in Databricks, Apache Spark and Delta Lake, including building and maintaining scalable batch and streaming data pipelines.
• Excellent knowledge of Python and SQL, with experience in data transformation, data modeling, and processing large datasets.
• Experience with workflow orchestration tools such as Databricks Workflows or Apache Airflow, and CI/CD practices for data engineering.
• Understanding of data quality, governance, monitoring, and performance optimization in distributed data platforms.
• Strong communication skills in English and Polish, with readiness to work in a hybrid model in Katowice.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data models for e-commerce, marketplace, retail, and tracking data.
• Build and optimize data engineering solutions on Databricks and Apache Spark using Python, PySpark, Scala, and SQL.
• Implement and maintain Delta Lake pipelines and modern Databricks features like Unity Catalog, Workflows, and Structured Streaming.
• Develop robust data models that integrate marketplace and retail data for cross-domain availability.
• Automate complex data preparation and transformation to enable reliable data delivery and self-service analytics.
• Monitor, optimize, and troubleshoot distributed data jobs for performance and reliability.
• Integrate data pipelines with downstream analytics and BI tools (Looker) with stakeholder collaboration to translate requirements into solutions.

Skills

Databricks

Apache Spark

Delta Lake

Python

SQL

Data modeling

Airflow

CI/CD for data

Data quality

EN/PL bilingual

Education

University degree in Computer Science / Software Engineering / Data Engineering

Tools

Databricks Workflows

Apache Airflow

Looker

Job description

OBI Smart Technologies Poland is seeking a Databricks Data Developer to build and optimize scalable data pipelines and architectures across an international e-commerce ecosystem. You will contribute to the data engineering foundation supporting marketplace and retail data, collaborating with Digital Business, Analytics, Product Management and IT teams.

You will design, develop, and maintain ETL/ELT pipelines, implement Delta Lake on Databricks, and develop robust data models to ensure data