Databricks Data Engineer for Global E-commerce (Hybrid)

Reply, Inc.; Katowice; Hybrid; PLN 145,000 - 246,000; Full time

Benefits offered by this job

Salary range and benefits platform

Medical care package

Meal tickets

Sports cards

Language courses

Company events

Job summary

OBI Smart Technologies in Katowice is seeking a Databricks Data Developer to design and optimize scalable data pipelines for e-commerce and retail platforms. You will build on Databricks and Spark, using Python, SQL, and Delta Lake to deliver reliable data models and streaming capabilities.

You will collaborate with Digital Business, Analytics, Product Management and IT teams across eight countries, contributing to data quality, governance, and BI integrations with Looker in a hybrid work setup.

Qualifications

• Completed university degree in Computer Science, Software Engineering, Data Engineering, or a comparable quantitative field.
• Several years of professional experience in Data Engineering or Data Platform Development, ideally within e-commerce or digital commerce environments.
• 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.
• Practical experience with workflow orchestration tools such as Databricks Workflows or Apache Airflow, as well as 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, production-grade ETL/ELT pipelines and data models processing high-volume e-commerce, marketplace, retail, and tracking data.
• Build and optimize data engineering solutions on Databricks and Apache Spark, using Python, PySpark, Scala, and SQL as appropriate.
• Implement and maintain Delta Lake pipelines and modern Databricks capabilities, including Unity Catalog, Databricks Workflows, and Structured Streaming.
• Develop robust data models that integrate marketplace and retail data, ensuring data consistency, quality, and availability across business domains.
• Automate complex data preparation and transformation processes to enable reliable data delivery and self-service analytics.
• Optimize, monitor, and troubleshoot distributed data jobs, ensuring pipeline performance, reliability, and scalability.
• Integrate data pipelines with downstream analytics and BI solutions, including Looker, while collaborating with business and technical stakeholders.
• Language support and training opportunities may include Medical Care, Benefits Platform, Language Courses, Company Events.

Skills

Databricks

Apache Spark

Delta Lake

Python

SQL

Airflow

Data Modeling

Data Quality

Hybrid Katowice

English & Polish

Education

Computer Science degree

Software Engineering

Data Engineering

Quantitative field

Tools

Databricks Workflows

Apache Airflow

Looker

Unity Catalog

Structured Streaming

CI/CD for data

Job description

OBI Smart Technologies in Katowice is seeking a Databricks Data Developer to design and optimize scalable data pipelines for e-commerce and retail platforms. You will build on Databricks and Spark, using Python, SQL, and Delta Lake to deliver reliable data models and streaming capabilities.

You will collaborate with Digital Business, Analytics, Product Management and IT teams across eight countries, contributing to data quality, governance, and BI integrations with Looker in a hybrid work setup.