We are seeking an experienced and forward-thinking Senior Data Engineer to lead the development and optimization of our enterprise data infrastructure. This role will play a strategic part in shaping the future of our data architecture and enabling advanced analytics across the organization.
You will design and implement scalable data solutions, mentor engineering teams, and collaborate closely with business stakeholders, analysts, data scientists, and platform teams to deliver high-impact data initiatives.
This opportunity is ideal for someone passionate about cloud-native data platforms, modern data engineering practices, and building reliable, secure, and high-performance data ecosystems.
Responsibilities:
Lead design and implementation of scalable, high-performance data architectures
Develop and optimise data pipelines, ETL/ELT processes, and data workflows
Design advanced data models to support complex business and analytics needs
Enable big data processing, machine learning pipelines, and advanced analytics
Manage and optimise cloud-based data platforms (primarily AWS)
Ensure performance, scalability, cost efficiency, and security of data systems
Lead technical direction and set data engineering standards
Mentor and guide data engineering team members
Collaborate with stakeholders (data scientists, analysts, developers, business teams)
Translate business requirements into effective data solutions
Implement and enforce data governance, quality, and compliance standards
Ensure adherence to data security and regulatory requirements
Stay updated with emerging data engineering tools and best practices
Qualifications & Experience:
Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field
10+ years' experience in data engineering or similar roles
Strong experience building and managing large-scale, complex data solutions
Expertise in Python, SQL, and Spark (PySpark/Spark SQL)
Solid understanding of data warehousing, big data, and ETL/ELT pipelines
Strong experience with cloud platforms, especially AWS
Proven leadership experience mentoring or leading data engineering teams
Strong analytical, problem-solving, and communication skills
Experience with data governance, streaming data, or certifications is advantageous
The Reference Number for this position is NG61336which is a Permanent, Hybrid position based in Cape Town offering a cost to company of up to R1.4mil CTC negotiable on experience and ability. Contact Nokuthula at [email protected] or call her on to discuss this and other opportunities.
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Originally posted on WakandaJobs.com - Source: www.wakandajobs.com
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