Senior Data Engineer: Global Azure Databricks Pipelines

Experis Manpower Group; Wrocław; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private healthcare (Medicover)

Multisport card

Access to e-learning platforms

Group life insurance

Job summary

Experis Manpower Group is seeking a Senior Data Engineer to join an international data team. You will design and develop scalable data solutions, build ETL pipelines, ensure data quality, and support cloud-based analytics platforms.

The role requires 5+ years in data engineering with strong Azure Databricks, Azure Data Factory, Azure SQL, ADLS, PySpark and SQL Server experience. Familiarity with Python/Java/Scala and Power BI is preferred.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong experience with Azure Databricks, Azure Data Factory, Azure SQL, ADLS, PySpark, Spark SQL, and SQL Server.
• Knowledge of Python, Java, or Scala.
• Experience with Power BI, SSIS, and SSRS.
• Strong SQL and data modeling skills.
• Experience working in Agile/Scrum environments.

Responsibilities

• Design, develop, and optimize ETL/ELT processes.
• Build and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Develop solutions using PySpark, Spark SQL, and SQL.
• Perform data integration, transformation, migration, and cleansing.
• Create and maintain SQL Server tables, views, and database objects.
• Optimize data workflows, performance, and automation processes.
• Collaborate with business analysts, data modelers, and agile teams.
• Prepare technical documentation and participate in solution design.

Skills

Data engineering

Agile/Scrum

Communication

Problem-solving

Tools

Azure Databricks

Azure Data Factory

Azure SQL

ADLS

PySpark

Spark SQL

SQL Server

Power BI

SSIS

SSRS

Job description

Experis Manpower Group is seeking a Senior Data Engineer to join an international data team. You will design and develop scalable data solutions, build ETL pipelines, ensure data quality, and support cloud-based analytics platforms.

The role requires 5+ years in data engineering with strong Azure Databricks, Azure Data Factory, Azure SQL, ADLS, PySpark and SQL Server experience. Familiarity with Python/Java/Scala and Power BI is preferred.