Analytics Engineer
Addi · Remote · Colombia ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- SQL + Python + dbt
- AI agent development
- Fintech / BNPL
- English required
You will manage Addi’s marketing data infrastructure, ensuring seamless integrations with tools like Braze and AppsFlyer. The team prioritizes using AI agents as the default workflow to make data self-service and efficient for Marketing and Growth teams. Your goal is to deliver trusted data for campaign measurement and acquisition tracking.
What you'll do
- Map the marketing data platform end-to-end and document it for humans and AI agents
- Implement tests and alerts to ensure 99% on-time data delivery for key tables
- Build and ship AI agents that automate recurring marketing data tasks
- Optimize pipeline costs and runtime by removing unused or duplicated jobs
- Maintain a centralized data catalog with clear ownership and approval rules
What you'll need
- Expertise in writing complex SQL including joins, window functions, and CTEs
- Experience building ELT pipelines using dbt, Airflow, Git, and code reviews
- Proficiency in Python for scripting and API integrations
- Daily experience using coding agents like Claude Code, Codex, or Cursor
- Proven track record of building agentic workflows that chain LLM calls with tools
- Ability to validate AI output and implement checks for data accuracy
- Strong documentation skills for runbooks and data catalogs
- Fluent in English with ability to translate business needs into technical solutions
Nice to have
- Experience with Braze, AppsFlyer, or Google Tag Manager
- Knowledge of Reverse ETL or Customer Data Platforms
- Familiarity with LLM APIs, LiteLLM, or building MCP servers
- Background in A/B testing and basic statistics
- Understanding of data privacy regulations like Habeas Data
- Experience with AWS and regulated industries like fintech
Stack
- SQL
- Python
- dbt
- Airflow
- Git
- Braze
- AppsFlyer
- GTM
- AWS
- Claude Code
- Cursor
How you'll work
- Fully remote position
- English is mandatory for communication
- On-call rotation for fixing data issues at the root
What you get
- Competitive salary package
- Equity ownership in the company
- Comprehensive benefits beyond basics
- Opportunity to shape company strategy and culture
Hiring process
- People Interview (30 min) with recruiter or hiring manager
- Initial Interview (45-60 min) with hiring manager
- Take Home Challenge (5-6 days, max 5 hours effort)
- Challenge Review (60 min) with Data Science team
- Stakeholder Interview (30 min) with cross-functional partner
- Co-Founder Interview for final alignment