Senior Data Engineer - Data Lake & Analytics Lead (Cape Town)

KnowBe4; Cape Town; On-site; ZAR 1,000,000 - 1,500,000; Full time

Job summary

KnowBe4, located in Cape Town, South Africa, seeks a Senior Data Engineer to collaborate with business stakeholders on data-driven strategies. You will design data models, create predictive algorithms, and optimize data pipelines to boost business productivity and efficiency.

The role requires advanced expertise in Python and SQL, plus strong knowledge of data lakes, warehousing, and analytics. You will communicate complex data concepts with non-technical audiences and adopt new data tooling in

Qualifications

• BS or equivalent with 8+ years of experience
• MS or equivalent with 3+ years of experience
• Ph.D. or equivalent with 2+ years of experience
• Strong programming with Python and SQL
• Experience with data lake, data warehousing and analytics
• Ability to model data and design data pipelines
• Ability to visualize data and communicate complex concepts to non-technical audiences

Responsibilities

• Collaborate with business stakeholders to understand goals and identify data-driven strategies
• Design data modeling processes and algorithms to extract business insights
• Develop and optimize data pipelines and analytics workflows
• Communicate complex data concepts through clear visualizations
• Identify opportunities and lead data orchestration and modeling projects
• Serve as SME in data warehousing and analytics and adopt new tooling

Skills

Python

SQL

Data modeling

Data pipelines

Data analysis

Data warehousing

Data lake

Visualization

Education

BS/BA plus 8+ years

MS/MA plus 3+ years

PhD plus 2+ years

Job description

KnowBe4, located in Cape Town, South Africa, seeks a Senior Data Engineer to collaborate with business stakeholders on data-driven strategies. You will design data models, create predictive algorithms, and optimize data pipelines to boost business productivity and efficiency.

The role requires advanced expertise in Python and SQL, plus strong knowledge of data lakes, warehousing, and analytics. You will communicate complex data concepts with non-technical audiences and adopt new data tooling in