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Analytics Engineer - Campaign Intelligence [Ads]
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe are looking for a Senior Analytics Engineer to bring robust, integrated data models and products to life within the VTEX Ads platform.
Build and maintain scalable analytical models in AWS Cloud
Develop ingestion, transformation and modeling pipelines on the VTEX data platform
Define data requirements with product and technology teams
Monitor performance and optimize queries across SQL and Python
Support stakeholders by turning their needs into practical solutions
From the employer’s posting
We are looking for a Senior Analytics Engineer to bring robust, integrated data models and products to life within the VTEX Ads platform. You will be the data modeling reference point across the entire Ads ecosystem—advertisers, publishers, events (clicks, views, impressions), and performance—translating these domains into reliable data for product, client, data science, and business teams. From requirements gathering to production pipelines in our Lakehouse, you will ensure scalability and reliability for decisions that sustain the platform's operations and revenue.
Build and maintain robust, scalable analytical models in AWS Cloud.
Develop ingestion, transformation, and data modeling pipelines using the VTEX data platform.
Participate in defining data requirements alongside product and technology teams.
Monitor performance, optimize queries, and ensure reliability across SQL and Python environments.
Support stakeholders with technical and analytical topics, translating needs into practical solutions.
What you’ll bring
All qualificationsCore experience
- Familiarity with metrics and concepts from ad tech/martech platforms (campaign performance, attribution, ROAS/CTR/CPC, etc.).
- Excellent communication skills with the ability to engage both technical and business audiences.
- Hands-on experience with orchestration and data transformation tools (Airflow, Python, Spark, EMR, Glue, etc.).
- Knowledge of AWS Cloud environments (preferably Redshift, S3, Glue, EMR).
- Practical experience using GenAI tools (e.g., GitHub Copilot, Claude Code, ChatGPT) to accelerate daily development, debugging, and documentation.
- Knowledge of semantic data layers (dbt semantic layer, LookML, Cube, etc.).
Preferred experience
- Knowledge of software engineering is considered a plus.
Qualification wording
Familiarity with metrics and concepts from ad tech/martech platforms (campaign performance, attribution, ROAS/CTR/CPC, etc.).
Excellent communication skills with the ability to engage both technical and business audiences.
Hands-on experience with orchestration and data transformation tools (Airflow, Python, Spark, EMR, Glue, etc.).
Knowledge of AWS Cloud environments (preferably Redshift, S3, Glue, EMR).
Practical experience using GenAI tools (e.g., GitHub Copilot, Claude Code, ChatGPT) to accelerate daily development, debugging, and documentation.
Knowledge of semantic data layers (dbt semantic layer, LookML, Cube, etc.).
Knowledge of software engineering is considered a plus.
Benefits in the posting
Full benefits wording- Annual profit-sharing program and equity eligibility;
- Health, dental, and life insurance with national coverage provided by VTEX;
- Flexible meal allowance;
- Extended parental leaves;
- Wellness program;
From the employer’s posting.
About VTEX
VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 9, 202626 days ago
- Recorded sightings
- 20
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
VTEX is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- dbt
- Redshift
- S3
- Spark
- Trino
- Airflow
Where the posting names them
- Support stakeholders with technical and analytical topics, translating needs into practical solutions. - Monitor performance, optimize queries, and ensure reliability across SQL and Python environments. - Contribute to spreading best practices and driving the evolution of the data stack.
- Experienced with databases and data warehouses on AWS (Athena, Trino, Redshift, etc.). - Advanced SQL, Spark, and Python, along with query optimization skills. - Hands-on experience with orchestration and data transformation tools (Airflow, Python, Spark, EMR, Glue, etc.).
- Advanced SQL, Spark, and Python, along with query optimization skills. - Hands-on experience with orchestration and data transformation tools (Airflow, Python, Spark, EMR, Glue, etc.). - Knowledge of AWS Cloud environments (preferably Redshift, S3, Glue, EMR).
WHAT YOU WILL DO - Build and maintain robust, scalable analytical models in AWS Cloud. - Participate in defining data requirements alongside product and technology teams.
- Experienced in data modeling for large-scale analytics. - Experienced with databases and data warehouses on AWS (Athena, Trino, Redshift, etc.). - Advanced SQL, Spark, and Python, along with query optimization skills.
- Hands-on experience with orchestration and data transformation tools (Airflow, Python, Spark, EMR, Glue, etc.). - Knowledge of AWS Cloud environments (preferably Redshift, S3, Glue, EMR). - Practical experience using GenAI tools (e.g., GitHub Copilot, Claude Code, ChatGPT) to accelerate daily development, debugging, and documentation.
- Practical experience using GenAI tools (e.g., GitHub Copilot, Claude Code, ChatGPT) to accelerate daily development, debugging, and documentation. - Knowledge of semantic data layers (dbt semantic layer, LookML, Cube, etc.). - Knowledge of software engineering is considered a plus.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Job description
ABOUT THE ROLE
We are looking for a Senior Analytics Engineer to bring robust, integrated data models and products to life within the VTEX Ads platform. You will be the data modeling reference point across the entire Ads ecosystem—advertisers, publishers, events (clicks, views, impressions), and performance—translating these domains into reliable data for product, client, data science, and business teams. From requirements gathering to production pipelines in our Lakehouse, you will ensure scalability and reliability for decisions that sustain the platform's operations and revenue.
ABOUT THE TEAM
You will join Campaign Intelligence, the newest team in our Data & Analytics organization, focused on the engine behind the VTEX Ads platform: pacing, target ROAS, budget forecasting, and auction optimization. We are responsible for structuring and serving this platform's data, giving product, data science, business teams, and clients reliable visibility into advertisers, publishers, and Ads performance—accelerating data-driven decisions on a global scale.
WHAT YOU WILL DO
- Build and maintain robust, scalable analytical models in AWS Cloud.
- Participate in defining data requirements alongside product and technology teams.
- Develop ingestion, transformation, and data modeling pipelines using the VTEX data platform.
- Support stakeholders with technical and analytical topics, translating needs into practical solutions.
- Monitor performance, optimize queries, and ensure reliability across SQL and Python environments.
- Contribute to spreading best practices and driving the evolution of the data stack.
WHO YOU ARE
-
Hard Skills
- Familiarity with metrics and concepts from ad tech/martech platforms (campaign performance, attribution, ROAS/CTR/CPC, etc.).
- Experienced in data modeling for large-scale analytics.
- Experienced with databases and data warehouses on AWS (Athena, Trino, Redshift, etc.).
- Advanced SQL, Spark, and Python, along with query optimization skills.
- Hands-on experience with orchestration and data transformation tools (Airflow, Python, Spark, EMR, Glue, etc.).
- Knowledge of AWS Cloud environments (preferably Redshift, S3, Glue, EMR).
- Practical experience using GenAI tools (e.g., GitHub Copilot, Claude Code, ChatGPT) to accelerate daily development, debugging, and documentation.
- Knowledge of semantic data layers (dbt semantic layer, LookML, Cube, etc.).
- Knowledge of software engineering is considered a plus.
Soft Skills
- Excellent communication skills with the ability to engage both technical and business audiences.
- Analytical mindset, strong problem-solver, and results-oriented.
- Autonomy, proactivity, and comfort working in dynamic, iterative environments.
- Collaborative mindset with a strong focus on organizational impact.
- Curious mindset, always seeking to understand the "why" behind problems before proposing solutions.
About VTEX
VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,400 global B2C and B2B customers, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,400 active online stores across 43 countries (as of FY ended on December 31, 2024).
Founded in the year 2000, VTEX has a history of being unstoppable. Completely against the odds, VTEX is leading a high-tech industry and positioned above market giants. We are building an extraordinary future with more than 1,300 employees scattered across 25 locations in 16 countries in Latin America, North America, Europe, and Asia. For more information, visit www.vtex.com.
At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together.
BENEFITS
- Annual profit-sharing program and equity eligibility;
- Health, dental, and life insurance with national coverage provided by VTEX;
- Annual budget for professional development in Tech;
- Language development incentive program (English, Spanish, Portuguese);
- Flexible meal allowance;
- Extended parental leaves;
- Child-care assistance;
- Flexible work schedule and remote-first culture;
- Financial assistance to build your work-from-home setup;
- Wellness program;
- Free shipping on 1000+ VTEX stores
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Brazil
- Child-care assistance; - Flexible work schedule and remote-first culture; - Financial assistance to build your work-from-home setup;
More source context
- Free shipping on 1000+ VTEX stores #LI-Remote
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.