Platform User Ops Intern

99; São Paulo; On-site; BRL 90,000 - 130,000; Full time

Job summary

99 is seeking a data-quality focused professional to audit core data assets and apply ML-driven techniques to detect anomalies and data drift. You will help automate validation pipelines and write SQL to extract, clean, and analyze data, while investigating ingestion issues and building governance dashboards.

The role emphasizes collaboration with senior data professionals and exposure to tools like dbt and Great Expectations within a fast-paced team at DiDi Global’s 99 platform in Brazil.

Qualifications

• Academic background as described (graduation expected in 12+ months).
• Fluent SQL skills with joins, aggregations, subqueries and filtering.
• Proficiency in Python data libraries (Pandas, NumPy).
• Fundamental AI/ML concepts and data governance basics.
• Auditing mindset with attention to detail and curiosity for anomalies.

Responsibilities

• Auditing Data Assets (AQR): assess, monitor, and audit core data assets' risk, integrity, and compliance.
• Applying AI for Quality: use AI/ML and LLM tooling to detect data drift, anomalies, duplicates, and inconsistencies in large datasets.
• Automating Quality Pipelines: support automated data validation, cleaning, and sanitation routines.
• Writing SQL: query relational and non-relational databases to extract, transform, and join data for analysis.
• Investigating Data Patterns: perform exploratory data analysis to uncover ingestion issues and bottlenecks.
• Building Monitoring Dashboards: design reports to track data health, governance metrics, and audit results.

Skills

SQL fluency

Python basics

AI/ML concepts

Auditing mindset

Data quality

Education

Ongoing degree in Computer Science/Data Engineering/Statistics

Tools

dbt

Great Expectations

Git

LLM APIs

Power BI

Tableau

Looker Studio

Job description

About The Company

If you see technology as a way to smooth your path in life, our team does too: Your Path, Our Journey.

We believe in technology that connects talented people who embrace diversity to create and share paths we don't even know about (yet!). We work to generate value not only for our users but, above all, for the communities we serve and for society as a whole, making every day better for everyone with mobility and delivery services (99) or digital payments (99Pay).

To make life easier for millions of people every day, since 2018, we have been part of DiDi DiDi Global Inc., the world’s leading mobility technology platform. We are pioneers in creating innovative solutions that start in Brazil and scale up to make a positive impact in more than 12 countries where DiDi operates. This innovation encompasses sustainability, safety, artificial intelligence, financial markets, and much more.

Whether building projects from scratch or improving our solutions, we enjoy challenges that give us butterflies, which is why we work at a fast pace with respect, collaboration, and good humor. Along this journey, we also draw strength from diverse experiences and opinions to grow together, fail quickly, learn, and adjust the course to create solutions that deliver even better results.

About The Team/role

We are a forward-thinking data team dedicated to driving high-stakes decision‑making through high-integrity data assets and applied AI. Our focus sits at the intersection of data quality governance, Asset Quality Review (AQR), and smartwork automation. In this role, you will work closely with senior data professionals to audit data pipelines, apply machine learning for anomaly detection, and ensure our predictive models and analytics rest on reliable, rock‑solid data.

In this role, you'll be...

• Auditing Data Assets (AQR): Conducting Asset Quality Review routines to assess, monitor, and audit the risk, integrity, and compliance of core data assets.
• Applying AI for Quality: Leveraging AI/ML algorithms and LLM tooling to detect data drift, anomalies, duplicates, and inconsistencies across large datasets.
• Automating Quality Pipelines: Supporting the build and maintenance of automated data validation, cleaning, and sanitation routines.
• Writing SQL: Querying relational and non-relational databases to extract, transform, and join data for analysis.
• Investigating Data Patterns: Performing exploratory data analysis to uncover root causes of ingestion failures and process bottlenecks.
• Building Monitoring Dashboards: Designing clear reports to track data health indicators, governance metrics, and AQR audit results.

We're eager to be in touch because you have...

• Academic Background: An ongoing degree in Computer Science, Data Engineering, Information Systems, Statistics, Data Science, Finance, Economics, or related fields (graduation expected in 12+ months).
• Solid SQL Skills: Practical fluency in writing intermediate SQL queries (JOINs, aggregations, subqueries, and filtering).
• Python Essentials: Good programming logic and hands-on exposure to Python data libraries (Pandas, NumPy).
• Core Conceptual Knowledge: A basic theoretical grasp of AI/ML concepts, Data Quality principles, and data governance frameworks.
• An Auditing Mindset: Sharp attention to detail with a strong curiosity to dig deep into anomalies and solve complex data puzzles.
• Bonus Exposure (Nice‑to‑Haves): Familiarity with tools like dbt, Great Expectations, Git, LLM APIs, or data visualization platforms (Power BI, Tableau, Looker Studio).

You'll love working at DiDi because...

We create user value

We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant and efficient.

We are data-driven

We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics.

Win‑win Collaboration

Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do.

We believe in integrity

Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other.

Growth

We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.

Diversity and Inclusion

Diversity is one of our biggest strengths. Our differences are what make us distinct. We respect each other and believe in equal opportunities for all.

Diversity & Inclusion

Diversity is not a vision of the future or something we wish to have one day, it is a non‑negotiable value of who we are.

We practice inclusion, plurality, and respect. And we count on the governance of the Diversity Committee, which works together with HR, leadership and identity groups - 99Adapta, 99Afro, 99Cores, 99Mulheres, and 99Mamães. This part of our journey has been written, there remains a long road before us.

We reinforce that this position is open to everyone, including pregnant people and people with disabilities (PwD).