Analytics Engineering Lead

Job not on LinkedIn

🕒 August 20

🌐 South Africa, Portugal, +1 more countries – Remote

🇿🇦 South Africa – Remote 🇵🇹 Portugal – Remote 🇰🇪 Kenya – Remote

💵 €3.7k - €6.1k / month

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 8%

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Triggerise

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🤝 Non-profit

🏥 Healthcare

🌍 Social Impact

Non-profit • Healthcare • Social Impact

Triggerise is a non-profit leveraging technology to transform sexual and reproductive health for underserved girls in urban and peri-urban Africa. It focuses on addressing the 'triple threat' of teenage pregnancy, HIV, and sexual violence by using digital approaches to improve access to information, services, and support for adolescent girls. The organization operates at the intersection of public health and international development, emphasizing technology-enabled interventions to drive social change.

📋 Description

• Define the technical strategy for the data environment • Mentor another Analytics Engineering Senior • Build, maintain, and scale reliable, well-documented data models • Oversee performant, cost-effective dbt and Tableau data model architecture • Establish clean semantic layers with validated metrics and standardized business logic • Apply dimensional modelling best practices • Enforce CI/CD, Git, automated testing, data contracts, and playbooks • Improve data reliability and organizational self-service analytics • Mentor and grow the analytics engineering team • Bridge Data Engineering, Analysts, Product, and Architecture teams • Align technical strategy with core business goals • Document work clearly for future use • Participate in agile rituals and practices

🎯 Requirements

• Proven experience leading, mentoring, or guiding data teams • Strong stakeholder management experience, particularly with Product and Architecture leads • 8+ years of hands-on experience in Analytics Engineering and BI Engineering • Advanced proficiency with dbt, SQL, and analytics-focused data modelling • Experience with dimensional modelling and ELT/ETL design • Strong experience building and optimising data models within Tableau • Deep understanding of CI/CD, Git, automated testing, pull request workflows, and modern data stack tooling • Ability to translate complex technical data concepts into clear, business-friendly language • Fluent written and verbal English skills • Currently based in Portugal, South Africa, or Kenya • Experience with Airflow or workflow orchestration tools • Background in Data Engineering, cloud data warehouses, or lakehouse architectures • Exposure to streaming architectures/event-driven systems such as Kafka or Kinesis • Hands-on experience building dedicated metric layers such as dbt Semantic Layer, MetricFlow, or LookML

🏖️ Benefits

• Benefits and allowances tailored to your location • Flexible work arrangements, including remote or hybrid options • Personal development budget of €500 per year • Unlimited holiday days • Opportunity to shape a growing, impactful product • Culture built on trust without unnecessary rules or micromanagement

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