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Senior Data Engineer

NTT

Johannesburg

Hybrid

ZAR 700,000 - 900,000

Full time

26 days ago

Job summary

A global technology leader in Johannesburg is seeking a Senior Data Engineer to design and implement scalable data pipelines. The role requires collaboration with data scientists and analysts to ensure data quality and compliance with regulations. Ideal candidates should hold a related Bachelor's degree and have expertise in Microsoft Azure Data Factory, SQL Analysis Server, and data modeling techniques. This position offers a hybrid working model.

Qualifications

  • Advanced knowledge of scoping requirements and management activities.
  • Deep understanding of database concepts and design principles.
  • Analytical mindset with excellent problem-solving skills.

Responsibilities

  • Design and implement scalable data pipelines.
  • Collaborate with data scientists and analysts.
  • Ensure data quality and compliance.

Skills

Data modeling techniques
Microsoft Azure Data Factory
SQL Analysis Server
SAP Data Services
Snowflake
Databricks

Education

Bachelor's degree in computer science or related field
Certifications in SAP, Microsoft Azure, Snowflake
Job description

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 data environments, 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.
  • Participate in thorough testing and validation to ensure data transformation accuracy.
  • Work across multiple IT and business teams to define and implement data table structures and models based on requirements.
  • Evaluate potential data requirements with various stakeholders.
  • Contribute to recommendations for improvements in automated and non-automated data components.

Knowledge and Attributes :

  • Advanced knowledge of scoping requirements, prioritization, and management activities.
  • Deep understanding of database concepts, data modelling techniques, and design principles for physical and logical data models.
  • Expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP, Snowflake, and Databricks.
  • Understanding of data architecture landscape between physical and logical data models.
  • Analytical mindset with excellent business acumen.
  • Effective problem-solving and communication skills, both written and verbal.
  • Strategic thinking and ability to build relationships at all organizational levels.

Academic Qualifications and Certifications :

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

Required experience :

  • Experience building modern data analytics solutions from large, complex datasets.
  • Proven experience designing secure, scalable, and highly available systems.
  • Proficiency in automation and scripting with successful implementation examples.

Workplace type : Hybrid Working

About NTT DATA

NTT DATA is a $30+ billion global leader in business and technology services, serving 75% of the Fortune Global 100. We invest heavily in R&D and are committed to innovation, digital transformation, and societal impact. With a diverse workforce in over 50 countries, we provide a wide range of services including consulting, data and AI, and infrastructure management. We are part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer

We are proud to be an Equal Opportunity Employer, fostering a culture of diversity and inclusion. We do not discriminate based on age, race, gender, sexual orientation, religion, nationality, disability, or any protected category. Join our global team and accelerate your career with us. Apply today.

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