Senior Data Engineer – Cloud Data Platform (Azure)

Sii Poland; Wrocław; On-site; PLN 210,000 - 270,000; Full time

Benefits offered by this job

Great Place to Work

Centre of internal trainings

Profit sharing

Medical care

Open and accessible management team

Job summary

Sii Poland is seeking an experienced Senior Data Engineer to join a global data platform team in the financial services domain. You will help build a modern cloud-based data ecosystem with Data Lake solutions and high-quality datasets for analytics.

Your focus will be on designing scalable pipelines, ETL, and Databricks solutions, while ensuring data governance, performance, and CI/CD adoption across teams.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• At least 5 years of experience in Data Engineering with ETL background.
• Hands-on with Azure Data Factory, Azure Databricks, Azure SQL, and ADLS.
• Proficiency in Python, Scala, or Java and strong SQL skills.
• Experience with big data frameworks, CI/CD, and Agile methodologies, plus strong communication.
• Very good English; fluent Polish; residing in Poland.

Responsibilities

• Design, build, and optimize scalable data pipelines (batch & real-time).
• Develop and maintain ETL processes and integrate data from multiple sources (including migrations).
• Create and manage data structures in Azure SQL and develop Databricks solutions (PySpark, Spark SQL).
• Ensure data quality, governance, and optimize performance (SQL, processing).
• Collaborate with cross-functional teams and implement CI/CD, automation, and Agile best practices.

Skills

Python

Scala

Java

SQL

CI/CD

Agile

English communication

Polish language

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

Azure Databricks

Azure SQL

Azure Data Lake Storage (ADLS)

Databricks / PySpark

Spark SQL

Job description

Sii Poland is seeking an experienced Senior Data Engineer to join a global data platform team in the financial services domain. You will help build a modern cloud-based data ecosystem with Data Lake solutions and high-quality datasets for analytics.

Your focus will be on designing scalable pipelines, ETL, and Databricks solutions, while ensuring data governance, performance, and CI/CD adoption across teams.