Associate Staff Engineer - Data Engineer

Nagarro; Región Centro; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Nagarro is seeking a Data/Analytics Engineer to join our team in Mexico. You will design and implement data pipelines using dbt, SQL, and cloud platforms to deliver reliable, scalable analytics across the business.

You will collaborate with product and data teams, ensure data quality, and contribute to data lineage and documentation. This role requires 4+ years in data engineering with hands-on dbt experience in production.

Formación

• 4+ years of experience in Data Engineering, Analytics Engineering, or related fields.
• 3+ years hands-on experience with dbt in production environments.
• Strong expertise in SQL and complex data transformation development.
• dbt models and materializations
• Macros and Jinja
• dbt testing and data quality
• Documentation and data lineage
• Cloud data platforms (Snowflake, Databricks, BigQuery, or Redshift)

Conocimientos

Data engineering

Analytics engineering

SQL

dbt Core

dbt Cloud

dbt models

Macros & Jinja

Data quality

Data lineage

Cloud data platforms

Herramientas

dbt

Snowflake

Databricks

BigQuery

Redshift

Descripción del empleo

• Full-time
• Service Region: UCC

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

• 4+ years of experience in Data Engineering, Analytics Engineering, or related fields.
• 3+ years of hands-on experience with dbt in production environments.
• Strong expertise in SQL and complex data transformation development.
• Strong understanding of dbt Core and/or dbt Cloud.
• dbt models and materializations
• Macros and Jinja
• dbt testing and data quality
• Snapshots, seeds, and sources
• Documentation and data lineage
• Cloud data platforms (Snowflake, Databricks, BigQuery, or Redshift)

AI skills (required for all roles)

• Daily, fluent use ofClaude Codeand/orGitHub Copilotfor implementation, refactoring, test generation, and code review
• Ability to establish team standards for AI-assisted development: effective prompting, trust-vs-verify discipline on generated code, security/IP guardrails, and reviewing AI-authored changes
• Working understanding of LLM fundamentals: context windows, tokens, model selection, and prompt/context engineering
• Experience integrating AI into developer workflows and agentic/automation tooling (MCP servers, AI-driven CI steps, codegen and doc-generation pipelines)
• Able to evaluate AI tooling pragmatically: measuring real productivity and quality impact, not hype

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