Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
ASAAS

Analytics Engineer, Mid-Level

ASAAS

. Build and optimize analytical and dimensional data models using dbt/SQL, following development best practices and governance standards .

Posted 9/16/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced SQL skills for data transformation and modeling, with expertise in dbt and analytical data modeling techniques. Proficient in implementing data quality measures and collaborating with cross-functional teams to ensure data integrity and governance.

Highest-signal resume keywords
Advanced SQL SkillsDbt ExperienceAnalytical Data ModelingETL/ELT Process DevelopmentGit/GitHub Version Control

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData TransformationDimensional Data ModelingETL ProcessesData Quality TestingAutomated TestingData DocumentationData GovernanceAnalytical PipelinesModularity
Soft Skills
Problem SolvingCollaborationCommunication
Tools & Technologies
DbtGitGitHubAirflowDatabricks
Industry Keywords
Financial InstitutionsERP SystemsSaaSGenerative AIAgile Methodologies

Tech Stack

Tools & technologies
AirflowETLPythonSQL

About the role

Key responsibilities & impact
  • Build and optimize analytical and dimensional data models using dbt/SQL, following development best practices and governance standards
  • Ensure data governance, quality, documentation, automated testing, scalability, and business impact
  • Participate in discussions with business teams to understand requirements and business rules
  • Work closely with software engineers to understand the structure, refresh frequency, limitations, business context, and technical characteristics of data sources
  • Implement data quality tests and monitor pipelines to ensure data availability, performance, and integrity across the domain
  • Actively participate in code reviews and help promote engineering best practices across the data team
  • Support the data team in understanding the data platform and applying best practices
  • Contribute to the development of Asaas's data platform

Requirements

What you’ll need
  • Advanced SQL skills focused on data transformation and modeling
  • Professional experience with dbt or similar transformation tools, with a focus on modularity, automated testing, and documentation
  • Experience with analytical and dimensional data modeling, including star schemas, fact tables, dimensions, and OBTs
  • Experience developing and maintaining ETL/ELT processes and analytical pipelines
  • Experience with code version control using Git/GitHub
  • Experience with data transformation, standardization, and documentation projects
  • Ability to solve technical and business problems from a systemic perspective, translating business rules into reliable data models
  • Familiarity with agile methodologies
  • Basic knowledge of Python
  • Completed or ongoing degree in Data Analytics/Science, Computer Science, Information Systems, Engineering, Physics, Mathematics, or a related field
  • Preferred: Experience with Generative AI tools
  • Preferred: Experience with the modern Analytics ecosystem, Databricks, or cloud data platforms, as well as familiarity with Airflow
  • Preferred: Experience in financial institutions, ERP systems, or SaaS
  • Preferred: Experience modeling financial metrics or digital product journeys

Benefits

Comp & perks
  • Medical and dental insurance with no co-payment
  • Life insurance
  • Prescription medication allowance
  • Fitness allowance
  • Four free therapy or nutritionist sessions per month
  • Quick massage at headquarters
  • Flexible meal and food allowance on a Visa card
  • Complimentary food at headquarters
  • Childcare allowance
  • Parental support program
  • Extended maternity and paternity leave
  • In-house training platform
  • Education allowance covering 70% of undergraduate and language course tuition
  • Allowance for purchasing courses and books
  • Home office allowance
  • Work equipment
  • Home office furniture allowance
  • Partnership with WOBA for coworking access throughout Brazil
  • Birthday month day off
  • Happy hour allowance
  • Referral bonus for new hires
  • Annual performance-based bonus
  • Stock options plan
  • No dress code