The Role
Design, build, and maintain scalable Azure data solutions and pipelines. Use Databricks (PySpark, SparkSQL) and Synapse to transform Oracle ERP data into analytics-ready datasets for Power BI and Power Apps, ensuring data quality, performance, and reliable delivery while collaborating with technical and business stakeholders.
Summary Generated by Built In
As a Senior Data Engineer , you will:
- Act as a Senior Data Engineer, designing, building, and maintaining scalable data solutions on the Azure platform.
- Develop and manage data pipelines using Azure Synapse Pipelines, T-SQL, Synapse Data Warehouse, and Dataflows.
- Transform and prepare enterprise data for analytics and reporting use cases.
- Work extensively with Databricks, using PySpark and SparkSQL for data processing and transformations.
- Convert data sourced from Oracle ERP systems into consumable formats for Power BI and Power Apps reporting.
- Support and contribute to modern data platform initiatives, including exposure to Microsoft Fabric where applicable.
- Ensure data quality, performance optimization, and reliable delivery across data pipelines.
What You Bring to the Table:
- 8–10 years of overall experience as a Data Engineer or in a similar data-focused role.
- Solid experience with Databricks, PySpark, and SparkSQL.
- Exposure to Microsoft Fabric is an added advantage.
- Good understanding of Oracle ERP data, particularly Financials, Sales, and HCM domains.
- Experience transforming ERP source data into analytics-ready datasets for reporting platforms such as Power BI and Power Apps.
- Proven ability to work independently while collaborating with cross-functional technical and business teams.
You should possess the ability to:
- Design and implement end-to-end data pipelines in Azure-based data platforms.
- Handle large-scale data transformations using Spark-based technologies.
- Translate business requirements into efficient and scalable data models.
- Work autonomously while coordinating effectively with multiple stakeholders.
- Optimize data performance, reliability, and usability for reporting and analytics.
- Adapt to evolving data technologies and support continuous improvement initiatives.
What we bring to the table:
- Opportunities to work on enterprise-scale data engineering initiatives using Azure and Databricks.
- Exposure to modern data platforms and analytics-driven reporting solutions.
- A role that combines technical depth with business-facing collaboration.
- An environment that values ownership, independence, and data engineering expertise.
- Involvement in transforming complex ERP data into meaningful business insights.
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
- 8-10 years of experience as a Data Engineer or similar
- Design and implement end-to-end data pipelines on Azure
- Experience with Azure Synapse Pipelines, Synapse Data Warehouse, Dataflows
- T-SQL proficiency
- Experience with Databricks, PySpark, and SparkSQL
- Experience transforming Oracle ERP (Financials, Sales, HCM) data for reporting
- Experience preparing datasets for Power BI and Power Apps
- Proven ability to work independently and collaborate with cross-functional teams
- Exposure to Microsoft Fabric
- Optimize data quality, performance, and reliability across pipelines
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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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