Analytics Engineering Lead

• Data Modelling & Semantic Architecture: Oversee the architecture of performant, cost-effective dbt and Tableau data models, establishing clean semantic layers with validated metrics, standardized business logic, and dimensional modeling best practices.
• Governance & Engineering Standards: Enforce software best practices (CI/CD, Git, automated testing) alongside data contracts and playbooks to ensure exceptional data reliability and elevate organizational self-service analytics.
• Technical Leadership & Enablement: Mentor and grow the analytics engineering team while bridging the gap between Data Engineers, Analysts, Product, and Architecture to align technical strategy with core business goals.
• You document your work and make sure that your documentation is clear and understandable for future use by others.
• Our team works in an agile way, and you will be part of the rituals and practices.

About you

You care deeply about the business context behind the numbers, not just the pipelines that process them.

You sit naturally at the intersection of software engineering discipline and business strategy.

You are a builder and a mentor who takes pride in turning chaotic raw tables into clean, trustworthy semantic layers, and you get genuine satisfaction from enabling analysts and non-technical stakeholders to self-serve with total confidence.

• Proven experience leading, mentoring, or guiding data teams, alongside 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 (dimensional modelling, 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
• Exceptional ability to translate complex technical data concepts into clear, business-friendly language
• Fluent written and verbal English skills
• You are currently based in Portugal / South Africa / Kenya

Nice to have:

• Experience with Airflow or workflow orchestration tools
• Background in Data Engineering, cloud data warehouses, or lakehouse architectures
• Exposure to streaming architectures / event-driven systems (e.g., Kafka, Kinesis)
• Hands-on experience building dedicated metric layers (dbt Semantic Layer, MetricFlow, LookML)

Introductory call with recruiter | First Interview with Tech Team | Technical Challenge | Final interview with the Tech Team

The gross monthly salary brackets for this position are: Kenya: Ksh444,178 - Ksh740,000 (x12)

South Africa: R88,008 - R146,600 (x12) Portugal: €3,660 - €6,100 (x14)

Your final salary will be determined based on your experience and alignment with your future colleagues.

In addition to your monthly salary, we offer you:

• Benefits and allowances tailored to your location.
• Flexible work arrangements, including remote or hybrid options.
• A personal development budget of €500 per year to invest in your professional growth
• Unlimited holiday days to use as you see fit - just coordinate with your team and take the time you need to recharge.
• The opportunity to shape a growing, impactful product and leave your mark on how we work
• A culture built on trust - we believe you’ll do your best without the need for unnecessary rules or micromanagement

Interested?

Click Apply for This Job!

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