Analytics engineering lead

Sobre a vaga

We are looking for a highly skilled Analytics Engineering Lead to provide technical leadership and bridge the gap between data engineering and data analysis. You will lead the vision for our data environment, mentoring a team to design, build, and maintain clean, reliable, well-documented data models.

O que vais fazer

• Mentor and grow the analytics engineering team, fostering a high-performance culture
• Collaborate with cross-functional leadership (Engineering, Product, Architecture) to align data efforts with business goals
• Lead and/or oversee the design, development, and maintenance of scalable DBT and tableau data models following best practices
• Direct the creation of clean semantic layers with fully validated metrics and business logic
• Optimise transformations for performance, cost, and maintainability
• Lead collaboration with analytics engineers to translate business questions into well-structured data models
• Work closely with Data Engineers to ensure upstream pipelines and schemas support downstream needs
• Build documentation, playbooks, and self-serve layers for stakeholders
• Own the development of reusable metrics and business definitions for consistent reporting
• Oversee the building semantic layers where needed
• Conduct exploratory analysis to validate models and understand data behaviours
• Accountable for high standards of data reliability, version control, and CI/CD for analytics code
• Drive data modelling standards across the organisation
• Contribute to data literacy initiatives through documentation and training
• Contribute to the data quality framework (tests, contracts, alerting)
• Continue to work in an Agile way, as per our teams

O que é pedido

• Proven experience leading or mentoring data teams
• Ability to set technical strategy and vision for analytics infrastructure
• Strong stakeholder management experience (mainly Product and Architecture)
• 8+ years in Analytics Engineering
• Strong experience with dbt, SQL, and analytics-focused data modelling
• Deep understanding of dimensional modelling, ELT/ETL design, and data quality practices
• Knowledge of CI/CD, Git, and modern data stack tooling
• Familiarity with software engineering best practices: testing, pull requests, code reviews, environments
• Strong communication skills: able to translate technical data concepts into business-friendly language
• You have excellent English skills

Valorizado

• Airflow experience would be very beneficial
• Experience with Tableau (modeling and optimization)
• Experience in data engineering
• Experience with lakehouse and cloud environments
• Understanding of event-driven architecture or streaming systems (Kafka/Kinesis)
• Experience building metric layers (LookML, MetricFlow, DBT Semantic Layer)

O que é oferecido

• Kenya: Ksh444,178 - Ksh740,000 (x12)
• South Africa: R88,008 - R146,600 (x12)
• Portugal: €3,660 - €6,100 (x14)
• 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

Benefícios e vantagens (5)

• Flexibilidade de horário
• Mais de 22 dias de férias
• Pet friendly
• Plafond certificações e conferências
• Seguro de saúde