
We Are Hiring
Data Engineer
A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that allow organizations to collect, store, process, and analyze large sets of data. They work with a variety of technologies and tools, including databases, data warehouses, ETL (Extract, Transform, Load) processes, and data pipelines, to ensure that data is clean, accessible, and usable for analysis.
- Experience with streaming processing: Apache Kafka, Spark Streaming
- Experience with pipeline development and data workflows: Apache Airflow, Apache NiFi, Luigi
- Experience with data security, maintenance, and integrity
- Experience with Agile methodology
- Advanced English proficiency
- Experience with the development and management of relational and non-relational database storage systems
- Experience with Big Data technology and structure: Hadoop, Spark, Kafka, HBase, Hive
- ETL
- Data architecture
General knowledge for all modules
- Module configuration
- Requirements analysis
- Process modeling
- Integration with other modules in SAP
- Debugging and monitoring alongside ABAP for development and error corrections
- Customization design
- Rollout
- Integration with other ERP and fiscal systems
- Experience with SAP S/4Hana, ECC
- Waterfall and/or Agile methodology
- Advanced English proficiency
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People Like N2S
What Candidates Are Saying
Grateful to Net2Source for helping me join this leading tech company. I’m thrilled to apply Python and SQL to develop impactful models and provide actionable insights.

Sarah L.
Data Scientist
N2S has been instrumental in my placement at this innovative company. I’m utilizing my Python skills to develop efficient solutions and drive impactful results.

Sophie L.
Python Developer
Focused on optimizing our cloud infrastructure with AWS and Kubernetes. Committed to improving deployment processes and system stability.

Mike B.
DevOps Engineer