Cloud Data Engineer: Azure Databricks & Data Pipelines

Sii Ukraїna TOV; Poland; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Sii Ukraїna TOV is seeking a senior data engineer to join the Data & Analytics Competency Center. You will design scalable data platforms (Data Lake/Data Warehouse), build and optimize ETL/ELT pipelines, and collaborate with analytics and science teams to deliver data-driven solutions.

Requirements include 4+ years in large-scale data processing, strong SQL/Python, and Azure cloud experience (Databricks, Data Factory, Synapse, Fabric).

Qualifications

• 4+ years of experience in data processing and integration projects.

Responsibilities

• Design scalable data processing platforms in Data Lake/Data Platform architecture.
• Create and maintain ETL/ELT pipelines to integrate data from diverse sources.
• Model data and prepare structures for analytics and business needs.
• Implement batch and near real-time data processing solutions.
• Monitor, optimize, and enhance existing data pipelines and workflows.
• Collaborate with data analysts, BI teams and Data Science for data provisioning.
• Gather business requirements and propose optimal tech solutions.
• Create and maintain technical documentation for developed solutions.
• Mentor less experienced team members and share best practices.

Skills

SQL

Python

Apache Spark

PySpark

Azure Databricks

ETL/ELT pipelines

Data modeling

Data Lake/Warehouse

English fluency

Polish fluency

Tools

Azure Databricks

Azure Data Factory

Synapse

Fabric

Apache Spark

PySpark

Job description

Sii Ukraїna TOV is seeking a senior data engineer to join the Data & Analytics Competency Center. You will design scalable data platforms (Data Lake/Data Warehouse), build and optimize ETL/ELT pipelines, and collaborate with analytics and science teams to deliver data-driven solutions.

Requirements include 4+ years in large-scale data processing, strong SQL/Python, and Azure cloud experience (Databricks, Data Factory, Synapse, Fabric).