Analytics Engineering Lead

3 months ago

Remote, Portugal +2 moreStaff+

Responsibilities

Oversee the architecture of dbt and Tableau data models, semantic layers, validated metrics, standardized business logic, and dimensional modeling practices.
Define and enforce data governance, engineering standards, data contracts, documentation, playbooks, CI/CD, Git workflows, and automated testing.
Mentor and grow the analytics engineering team while aligning Data Engineering, Analytics, Product, Finance, Operations, and Architecture.
Translate complex technical data concepts into clear business-friendly language and enable reliable self-service analytics.
Participate in the team’s agile rituals and practices.

Proven experience leading, mentoring, or guiding data teams and managing stakeholders, particularly Product and Architecture leads.
At least 8 years of hands-on experience in Analytics Engineering and BI Engineering.
Advanced proficiency with dbt, SQL, and analytics-focused data modeling, including dimensional modeling and ELT/ETL design.
Strong experience building and optimizing data models within Tableau.
Deep understanding of CI/CD, Git, automated testing, pull request workflows, and modern data stack tooling.
Exceptional ability to explain complex technical data concepts in 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, data engineering, cloud data warehouses, lakehouse architectures, streaming or event-driven systems such as Kafka or Kinesis, and metric layers such as dbt Semantic Layer, MetricFlow, or LookML is advantageous.

Open to remote work for applicants in Portugal, Kenya, and South Africa, with flexible remote or hybrid arrangements.
Location-tailored benefits and allowances.
Personal development budget of €500 per year.
Unlimited holiday days coordinated with the team.
Opportunity to shape a growing, impactful product and influence how the organization works.
Recruitment includes an introductory recruiter call, tech interviews, a technical challenge, and a final tech interview.