Data Engineer

DiDi Global Inc. is the world's leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.

DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world's transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.

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 You'll be joining the Strategy – Key Accounts (KA) Team at DiDi Food Mexico City (CDMX) — a mission-driven group focused on transforming how we leverage data to drive smart, scalable decisions across core business functions. Our team partners with cross-functional stakeholders (Product, Operations, BI, and Tech) to unlock insights that accelerate growth and operational excellence. In this role you will be the primary data engineering contributor, ensuring our systems are reliable, connected, and ready to power strategic and analytical needs. This is a unique opportunity for someone early in their data career to shape key data foundations within a rapidly evolving tech organization.

• Build, maintain, and optimize data pipelines, enabling reliable access to structured and unstructured data across internal systems.
• Write clean, scalable code and advanced SQL queries to support data ingestion, transformation, and reporting.
• Design and migrate tables, schemas, and datasets to support analytics and strategic initiatives.
• Collaborate with analysts, product managers, and engineers to understand data requirements and translate them into technical solutions.
• Monitor data quality, troubleshoot issues, and ensure consistency and accuracy throughout our data ecosystem.
• Support automation of workflows and integration across internal platforms and services.
• Document processes and contribute to best practices for data engineering across the team.

• 1–2 years of experience post-graduation — ideally in data engineering, analytics engineering, software engineering, or a similar data-centric discipline.
• Strong proficiency in SQL and a solid foundation in data querying, modeling, and performance optimization.
• Hands-on experience in data management, including working with databases, migrations, ETL/ELT processes, and table design.
• Comfortable coding in at least one programming language (Python, Java, or similar).
• A passion for turning data into reliable infrastructure — not just reports — and elevating how teams across the company use data.
• A growth mindset: you ask questions, experiment, learn quickly, and embrace complexity with a collaborative attitude.
• Bonus: experience with cloud environments (Snowflake, BigQuery, AWS, GCP) and toolchains for orchestration (Airflow, dbt, etc.).

• We create customer 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.
• We believe in 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.
• We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.
• We believe in Diversity and Inclusion – Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.

We are committed to building inclusive and diverse teams.

At DiDi, we believe that our differences are our biggest source of strength. Thats why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.

Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.

We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that's how we create better products and services, make better decisions and better serve the communities we're a part of.

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