Senior Analytics Engineer
HybridLisbon, Lisbon, Portugal
Job Summary
Design, build, and own end-to-end data models within the dbt-powered Unified Data Model, refactoring messy datasets into clean, intuitive structures that serve as a single source of truth. Act as a consultative partner to Product and Go-to-Market teams, uncovering underlying business problems to deliver proactive, data-driven insights that drive measurable outcomes. Champion self-service analytics culture by guiding stakeholders toward scalable solutions and upskilling the organization on modern GenAI tooling like Claude Code. Implement AI data agents to automate reporting and alerting, while establishing data quality tests and governance best practices to ensure trust in the data. Mentor junior engineers and improve team processes to raise the technical bar. Based in Lisbon with a hybrid schedule (office Mondays, Tuesdays, Thursdays), this role supports the Data & Analytics team at a B2B/B2C SaaS company trusted by over 25,000 brands.
Required Qualifications
- 5+ years of experience in an Analytics Engineering position or equivalent role
- Expert in SQL and dbt
- Deep, hands-on experience designing, deploying, and maintaining complex data models in a production environment
- Strong strategic business acumen and a deep understanding of the B2B SaaS engine
- Ability to speak the language of ARR, NRR, churn, and product-led growth
- Highly consultative stakeholder management skills
- Ability to uncover the true business need, drive alignment, and take proactive ownership of initiatives from end to end
- Fluency in English: verbal and written
- Fluency with AI coding platforms such as Claude Code
- Demonstrated experience integrating modern GenAI tooling into your day-to-day analytics workflow
- Ability to mentor the rest of the organisation on AI tools
- Ability to thrive in an autonomous, high-exposure environment
- Relentless curiosity to untangle complex data puzzles
- Ability to work in a hybrid culture combining in-person collaboration with remote work flexibility
- Ability to work in an office on Mondays, Tuesdays, and Thursdays
Desired Qualifications
- Passion for treating data as a product
- Succeeding in autonomy
- Wanting to have a massive, visible impact on a thriving B2B/B2C SaaS business
- AI-first mindset
- Experience with AI data agents and automation
- Experience building and maintaining AI-ready data foundations
- Experience delivering actionable insights that directly impact the bottom line
- Experience tackling complex data architecture problems
- Experience empowering the organisation through self-service
- Experience mentoring peers and upskilling stakeholders
- Experience guiding stakeholders toward scalable, self-serve solutions
- Experience pushing back on ad-hoc dashboard requests
- Experience implementing data quality tests
- Experience implementing data governance best practices
- Experience raising the technical bar
- Experience proactively improving team processes
- Experience acting as a senior strategic partner to the business
- Experience bridging the gap between deep technical modeling and business strategy
- Experience transforming a team from a reactive support function into a proactive, strategic powerhouse
- Experience building out robust data foundations
- Experience refactoring historically messy datasets
- Experience designing clean, intuitive models that serve as a single source of truth
- Experience acting as a consultative partner to Product + Go-to-Market and business teams
- Experience moving beyond reactive support desk requests
- Experience uncovering underlying business problems
- Experience delivering proactive, data-driven insights that drive measurable outcomes
- Experience shifting the conversation from 'what happened' to 'what's next'
- Experience with AWS (Redshift, S3, Lambda, Kinesis, Glue)
- Experience with Python
- Experience with Airflow
- Experience with GitLab
- Experience with Omni
- Experience with dbt
- Experience with SQL
- Experience with Python
- Experience with AWS
- Experience with BI & Visualisation
- Experience with Orchestration
- Experience with CI/CD & Version Control
- Experience with AI
- Experience with Claude Code
- Experience with GenAI tooling
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