As a Data Engineer, you will be responsible for developing and maintaining scalable data pipelines, integrating multiple data sources, and ensuring high-quality data processing for analytics, reporting, and machine learning tasks. The role involves collaborating with analytics, product, and infrastructure leaders to advance the company’s data and analytics platform, while ensuring data governance, monitoring, and reliability standards are met.
What will you do?
- Develop and maintain ETL pipelines for centralized data storage systems
- Integrate data from databases, APIs, log files, streaming platforms, and external providers
- Develop data transformation routines to clean, normalize, and aggregate data
- Apply data processing techniques to handle complex or inconsistent datasets
- Contribute to frameworks and best practices for code development and deployment
- Implement data governance in alignment with company standards
- Partner with analytics and product leaders to design and operationalize pipelines
- Collaborate with infrastructure leaders to advance cloud-based data platforms
- Explore new tools and techniques leveraging Azure, Databricks, or related platforms
- Monitor data pipelines to detect and resolve issues promptly
- Develop monitoring tools, alerts, and automated error-handling mechanisms
The ideal candidate should possess:
Essential Qualifications
- The position is open to wide range of data engineering experience level including fresh graduate
- Good experience designing data solutions including data modeling
- Hands-on experience with data processing jobs using Talend, PySpark and SQL
- Experience orchestrating data pipelines with Talend, ADF, Airflow, or similar tools
- Experience with both batch and real-time data processing
- Proficiency in SQL including advanced features, with exposure to more than one data systems, such as SQL DB, Cloudera
- Understanding of DevOps tools, Git workflows, CI/CD or MLOps pipelines
Preferred Attributes
- Domain knowledge of defense logistics, including its organisation and processes
- Experience and ability to apply Scrum practices in a practical project context
- Good knowledge of SAP system functionally with prior experience of working on ABAP code
- Strong problem-solving and collaborative mindset
- Some knowledge and experience of using Qlik for BI development
Preferred Professional and/or Technical Certifications
- Talend Data Integration Certified Developer
- Talend Big Data Certified Developer
ADDITIONS
- Experience with streaming technologies such as Apache Kafka, Apache Flink, or AWS Kinesis
- Ability to design and implement real-time data processing pipeline
Why Join NCS
Lead high-impact AI management consulting programs for major enterprises and public sector clients.
Shape enterprise strategies and governance frameworks that drive real transformation.
Work with a talented, multidisciplinary team in a collaborative environment.
Competitive compensation and strong professional development support.
We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Together, we make the extraordinary happen.
Learn more about us at ncs.co and visit our LinkedIn career site.
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