Senior Data Engineer

NTT; Cape Town; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A global technology services provider is seeking a Senior Data Engineer in Cape Town. This role focuses on designing and maintaining scalable data pipelines and requires experience with Microsoft Azure Data Factory and SQL. Ideal candidates will possess a Bachelor's degree and have proficiency in building modern data analytics solutions. The position offers a hybrid working model and an inclusive workplace culture.

Qualifications

• Proficient in building modern data analytics solutions that deliver insights from large and complex data sets.
• Advanced experience with architecture and design of secure, highly available and scalable systems.
• Certified Data Engineer or similar certification preferred.

Responsibilities

• Design and implement robust, scalable data pipelines.
• Build and maintain data warehouses and real-time streaming systems.
• Collaborate with data scientists and analysts to understand data needs.

Skills

Data pipeline design

ETL/ELT processes

Microsoft Azure Data Factory

SQL

Analytical mindset

Education

Bachelor's degree in computer science or related field

Tools

Snowflake

Databricks

Job description

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines. Key Responsibilities:

• Design and implement robust, scalable, and secure data pipelines (ETL/ELT).
• Build and maintain data warehouses, data lakes, and real-time streaming systems.
• Develop and optimize workflows for large-scale data processing.
• Manage and maintain dataenvironments, including performance tuning and cost optimization.
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
• Ensure data quality, integrity, and compliance with data governance and privacy regulations (e.g., POPIA, GDPR).
• Mentor junior engineers and contribute to best practices and code reviews.
• Automate data validation, monitoring, and alerting processes.
• Integrate data from various sources including APIs, databases, and third-party platforms.
• Directs test scenarios and is responsible for participating in thorough testing and validation to support the accuracy of data transformations.
• Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.
• Works with various stakeholders to evaluate potential data requirements.
• Networks with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.

Knowledge and Attributes:

• Advanced knowledge of the definition and management of scoping requirements, definition and prioritization activities.
• Advanced understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
• Advanced expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP. Snowflake and Databricks
• Advanced understanding of data architecture landscape between physical and logical data models
• Analytical mindset with excellent business acumen skills.
• Problem-solving aptitude with the ability to communicate effectively, both written and verbal.
• Ability to think strategically and build effective relationships at all levels within the organization.

Academic Qualifications and Certifications:

• Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.
• Relevant certifications preferred such as SAP, Microsoft Azure, Snowflake and Databricks.
• Certified Data Engineer, Certified Professional certification preferred.

Required experience:

• Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
• Advanced demonstrated experience with architecture and design of secure, highly available and scalable systems.
• Advanced proficiency in automation, scripting and proven examples of successful implementation.

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.