Senior Analytics Engineer
Full-time
Remote from South Africa, reporting to London headquarters
About GoGorilla
GoGorilla is the world's first performance marketing company built on financial technology. We've engineered a platform that hardwires client objectives into every campaign, ensuring transparent, auditable results that traditional agencies can't match. When our clients win, you win. You'll join a high-performance international team where your creative impact directly shapes your career trajectory and financial rewards, with opportunities for UK visa sponsorship for outstanding performers.
About the role
As a Senior Analytics Engineer working remotely from South Africa, you will build and maintain analytics infrastructure and data pipelines for our performance marketing platform serving UK and international clients. You will work closely with our London engineering team to develop scalable analytics solutions and ensure reliable data processing for client campaigns.
Day to day, you'll be building data pipelines, developing analytics infrastructure, creating automated reporting systems, and collaborating with data scientists and engineers to support platform analytics needs. This role leverages South African technical expertise in analytics engineering and data infrastructure.
Working pattern and flexibility
This is a senior technical role available as full-time, fully remote from South Africa. You'll work closely with our London headquarters team through structured communication and regular video calls. Core collaboration hours align with South African mornings (UK afternoons) for optimal technical collaboration. Time tracking software is required for security and progress monitoring.
Leadership trajectory
This is a senior technical role with opportunities to advance to Lead Analytics Engineer or Head of Analytics positions. You'll start by managing individual analytics projects, with the chance to progress to leading analytics initiatives and mentoring other engineers within 18-24 months based on performance. Exceptional performers will have opportunities for UK visa sponsorship.
What you will be doing
Build and maintain scalable data pipelines and analytics infrastructure for performance marketing campaigns.
Develop automated reporting and monitoring systems for client campaign analytics.
Create data transformation and processing workflows to support business intelligence needs.
Collaborate with data scientists and engineers to implement analytics solutions in production.
Optimise analytics performance and ensure reliable data processing at scale.
Design and implement data quality monitoring and validation systems.
Contribute to analytics engineering best practices and methodology development.
Mentor junior analytics team members and contribute to technical knowledge sharing.
What you will bring
University degree in Computer Science, Engineering, Data Science, or related technical field.
4-6 years of experience in analytics engineering, data engineering, or related technical roles.
Proficiency in SQL, Python, and analytics engineering tools (dbt, Airflow, etc.).
Strong experience with cloud data platforms and analytics infrastructure (AWS, GCP, Azure).
Experience with data warehousing, ETL/ELT processes, and business intelligence tools.
Excellent English communication skills for technical collaboration with UK teams.
Right to work in South Africa with a reliable high-speed internet connection.
You should not apply if
You lack experience in analytics engineering and data infrastructure development.
You are not proficient with data pipeline development and analytics tools.
You are not comfortable working with complex technical systems and scalability challenges.
You are not interested in performance marketing and business-driven analytics.
You are not comfortable working independently on complex technical projects.
How we work
Outcomes first – success measured by analytics reliability, system performance, and business impact.
Autonomy with accountability – significant freedom to develop analytics solutions with clear expectations.
Build the playbook – lead development of analytics engineering best practices and methodologies.
Learn from the best – work directly with senior engineers and technical leadership.
Continuous improvement – technical innovation drives platform development and client success.
Compensation and progression
Base salary: R55,000 to R65,000 per month (full-time).
Currency options: Choose to be paid in ZAR, USD, GBP, or a combination.
Performance bonuses: Analytics engineering success bonuses based on system performance and reliability (available after 6-month probation).
Company profit-sharing: Enhanced participation in overall company success.
Equity: Meaningful equity participation for high performers (considered after 12 months).
Benefits: Full benefits package is available after a 6-month probation period.
UK visa opportunity: Outstanding performers eligible for sponsorship (after 18 months minimum).
Progression: Clear path to Lead Analytics Engineer or Head of Analytics roles based on performance.
30-60-90 day expectations
Day 30 – Complete onboarding, understand analytics infrastructure, and begin first engineering projects.
Day 60 – Successfully build and deploy analytics solutions and demonstrate technical capabilities.
Day 90 – Consistently deliver reliable analytics infrastructure and contribute to platform improvement.
Probation and performance framework
6-month probation period with monthly performance reviews and clear success metrics.
Performance thresholds: Must achieve analytics engineering delivery and system performance targets to progress beyond probation.
Benefits eligibility: Full benefits package is available after successful completion of probation.
Equipment policy: Company equipment must be returned if employment ends during the probationary period.
