Senior Data Engineer

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

About the Role

We are seeking an experienced Senior Data Engineer to join an international data team. You will be responsible for designing and developing scalable data solutions, building ETL pipelines, ensuring data quality, and supporting cloud-based analytics platforms.

Key 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.

Requirements

• 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.
• Excellent communication and problem-solving skills.

Required Certifications

• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer

Nice to have

• Experience in Financial Services, Banking, Leasing, or Captive Finance environments.

What We Offer

• B2B contract
• Private healthcare (Medicover)
• Multisport card
• Access to e-learning platforms
• Group life insurance
• Opportunity to work on large-scale, global data initiatives in a modern Azure environment.