Analytics Engineering Lead

Posted 3ds ago

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Job Description

Analytics Engineering Lead shaping Tiko’s dbt and Tableau data platform for adolescent health services across Africa. Leading semantic modelling, governance, and analytics engineering enablement.

Responsibilities:

  • 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