Remote/Hybrid Cloud Data Engineer - Azure Spark & Data Lake

Sii Sweden AB; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

Sii Sweden AB is hiring for a data engineering specialist in Poland to join our Data & Analytics Competency Center. You will design, build, and optimize scalable data processing platforms within Data Lake/Data Platform architectures and collaborate with analysts, BI teams and Data Science groups to deliver data-driven insights.

The role requires strong SQL and Python, Spark/PySpark, and hands-on Azure cloud experience (Databricks, Data Factory, Synapse, Fabric).

Qualifications

• Minimum 4 years of experience in processing large data volumes.
• Strong SQL and Python skills.
• Experience with Spark / PySpark.
• Azure cloud data processing experience (Databricks, Data Factory, Synapse, Fabric).
• Fluent English and Polish language skills.
• Must be located in Poland.

Responsibilities

• Designing, building, and developing scalable data processing platforms in Data Lake / Data Platform architecture.
• Creating and maintaining ETL/ELT pipelines to integrate data and process it in Azure Databricks.
• Data modeling and preparing data structures for analytics and business needs.
• Implementing data processing solutions (batch and near real-time).
• Monitoring, optimizing, and developing existing pipelines and workflows.
• Collaborating with data analysts, BI teams, and Data Science teams to provide data.
• Gathering business requirements and proposing optimal tech solutions.
• Creating and maintaining technical documentation for developed solutions.
• Supporting and mentoring junior team members with best practices.

Skills

SQL

Python

Apache Spark / PySpark

Azure Databricks

ETL/ELT pipelines

Data modeling

Data Lake / Data Warehouse

Azure Data Factory / Synapse / Fabric

Data orchestration

Tools

Azure Databricks

Azure Data Factory

Synapse

Fabric

Job description

Sii Sweden AB is hiring for a data engineering specialist in Poland to join our Data & Analytics Competency Center. You will design, build, and optimize scalable data processing platforms within Data Lake/Data Platform architectures and collaborate with analysts, BI teams and Data Science groups to deliver data-driven insights.

The role requires strong SQL and Python, Spark/PySpark, and hands-on Azure cloud experience (Databricks, Data Factory, Synapse, Fabric).