Data-Hub Engineering Lead

Derivco

Durban

On-site

ZAR 1,200,000 - 1,800,000

Full time

12 days ago

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Benefits offered by this job

High visibility role
Dynamic leadership team
AI growth opportunities
Competitive package

Job summary

Derivco is seeking a Manager: Analytics to lead its Data-Hub team, owning data pipelines from collection to enrichment and reporting. This hands-on leadership role partners with senior engineers and a data architect to set direction and milestones, driving near-real-time Snowflake pipelines and AI-enabled insights.

The role requires steering complex stakeholder relationships, overseeing budgets and vendors, and ensuring scalable, auditable data platforms across the business.

Qualifications

  • Bachelor's degree with Honours in data science or related analytical field.
  • 8–10 years in data engineering, data analysis, or operations analytics, including leadership.
  • Proven track record mentoring engineers and analysts.
  • Experience managing budgets, contracts, and vendor relationships.
  • Strong stakeholder management with delivery credibility.

Responsibilities

  • Lead and grow the Data-Hub engineering team, setting strategic direction and milestones.
  • Own delivery, ensure data pipelines are accurate, documented, and maintainable.
  • Manage budgets, contracts, and vendor relationships for data platforms.
  • Provide technical leadership across warehousing, orchestration, and scripting.
  • Partner with the business and sister analytics teams to translate capabilities into outcomes.

Skills

Data engineering
Team leadership
Stakeholder management
Budget management
Data architecture

Education

Honours in Data Science

Tools

Snowflake
SQL Server
Airflow
ETL pipelines

Job description

Derivco is seeking a Manager: Analytics to lead its Data-Hub team, owning data pipelines from collection to enrichment and reporting. This hands-on leadership role partners with senior engineers and a data architect to set direction and milestones, driving near-real-time Snowflake pipelines and AI-enabled insights.

The role requires steering complex stakeholder relationships, overseeing budgets and vendors, and ensuring scalable, auditable data platforms across the business.

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