Senior Data Engineer
Summary
Builds and maintains scalable data pipelines using Azure Databricks, Azure Data Factory, and PySpark to transform, integrate, and optimize data workflows for analytics, with SQL and cloud-based solutions.
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.
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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.
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Excellent communication and problem-solving skills.
Required Certifications:
Microsoft Certified: Azure Data Engineer Associate
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Databricks Certified Data Engineer
Nice to have:
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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.