The Role
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks, Spark, Python, dbt, and Azure Data Factory. Manage and optimize SQL Server workloads, create data models, and develop Power BI reporting. Ensure data quality, integrate multiple sources, support legacy systems (SSIS/SSRS), and collaborate with cross-functional teams.
Summary Generated by Built In
As a Data Engineer, you will:
- Design, build, and maintain scalable data pipelines using Databricks, Spark, and Python
- Develop and manage data transformation workflows using dbt
- Implement and maintain ETL/ELT processes using Azure Data Factory
- Work with SQL Server to manage, query, and optimize structured data
- Create data models and support data architecture initiatives
- Develop dashboards and reporting solutions using Power BI
- Integrate data from multiple sources ensuring consistency and quality
- Support legacy and reporting systems using SSIS and SSRS (preferred)
What You Bring to the Table:
- 8+ years of experience as a Data Engineer
- Strong hands-on experience with Databricks, Spark, and Python
- Solid experience in Azure Data Factory for data orchestration
- Proficiency in SQL Server and advanced SQL querying
- Experience working with dbt for data transformation
- Exposure to Power BI for reporting and visualization
- Familiarity with SSIS and SSRS (preferred)
- Strong understanding of data architecture and data modeling concepts
You should possess the ability to:
- Design efficient and scalable data pipelines and workflows
- Optimize performance of SQL queries and Spark jobs
- Handle large-scale data processing and transformation
- Translate business requirements into technical data solutions
- Ensure data quality, integrity, and governance
- Work independently and manage multiple data engineering tasks
- Collaborate with cross-functional teams for data-driven solutions
- Troubleshoot and resolve data-related issues effectively
What we bring to the table:
- Opportunity to work on modern data engineering tools and technologies
- Exposure to Azure-based data platforms and architecture
- A role focused on end-to-end data lifecycle management
- Hands-on experience with Databricks, dbt, and Power BI ecosystems
- Challenging projects involving large-scale data processing
- Collaborative environment working with data and analytics teams
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Aswin Dhanvandhar
Phone: +31 20 369 0609 ; Extn :141
LinkedIn: https://www.linkedin.com/in/aswin-dhanvandhar/
Skills Required
- 8+ years of experience as a Data Engineer
- Hands-on experience with Databricks
- Hands-on experience with Spark
- Proficiency in Python
- Experience with Azure Data Factory
- Proficiency in SQL Server and advanced SQL querying
- Experience working with dbt for data transformation
- Exposure to Power BI for reporting and visualization
- Familiarity with SSIS and SSRS
- Strong understanding of data architecture and data modeling concepts
- Experience optimizing performance of SQL queries and Spark jobs
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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