LEAD DATA ENGINEER - Build and lead SELF-SERVICE ANALYTICS features for the leading loyalty and customer rewards platform in South Africa Cape Townhybrid R14M
LEAD DATA ENGINEER - Build and lead SELF-SERVICE ANALYTICS features for the leading loyalty and customer rewards platform in South Africa Cape Townhybrid R14M
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Job Description
Job Description
This is a brilliant opportunity for a Lead Data Engineer/Technical Lead to establish build out and lead the team responsible for building selfservice analytics features within South Africas leading loyalty and customer rewards platform.
This is a Cape Townbased (hybrid) role with a CTC of R14 million per year.
THE COMPANY
This software solutions company is at the forefront of datadriven innovation in the customer rewards and loyalty industry. With a sharp focus on leveraging advanced data capabilities they craft cuttingedge engagement solutions for globally recognized financial services retail and automotive giants.
Their robust product ecosystem harnesses data to transform how businesses connect with their customers and employees driving unprecedented improvements in acquisition retention loyalty and satisfaction. By turning insights into action they set a new standard for performance and impact in the industry.
THE ROLE
As the Lead Data Engineer youll design and implement scalable data architectures and streaming solutions that power realtime insights and selfservice analytics enabling stakeholders to access and utilize data independently. Leading a team of skilled data and machine learning engineers youll build robust systems ensure data quality and governance and leverage cuttingedge tools to drive performance.
Collaborating with clients and internal teams youll translate complex business needs into actionable scalable solutions while shaping the companys data strategy to support datadriven decisionmaking across the organization.
REQUIREMENTS
BSc or equivalent work experience
6 years experience as a Data Engineer
Demonstrable Team or Technical Lead experience
Expert knowledge of Python SQL and AWS
Key skills also include data streaming platforms (Apache Kafka) ETL cloud data platforms (Snowflake) big data technologies (Hadoop Spark) data modeling data warehousing and data governance
Employment Type
Full Time
