Business Intelligence Developer / Python Streamlit Developer

Zendesk; Estado de México; Presencial; MXN 480.000 - 720.000; Jornada completa

Descripción de la vacante

Zendesk is seeking a versatile BI Developer focused on blending software engineering, dashboard development, and AI/Cloud technologies. The role requires a strong Python foundation, agile collaboration, and curiosity to build impactful data products that emphasize the “why” behind the code.

You will design a reusable Python library for Streamlit apps, maintain legacy dashboards, and work with DBT and data platforms in a hybrid Mexico City environment.

Formación

• Python: strong foundation and 3+ years experience.
• Databases: experience with SQL and data pipelines.
• SQL: in-depth querying and data modeling.
• Data Engineering: basic experience building data pipelines.
• AI Usage: experience developing with AI tooling and agents.

Responsabilidades

• Design and develop an internal Python library to streamline Streamlit app development.
• Create reusable UI components and AI wrappers to empower teams building data apps.
• Enforce software development best practices, including version control, packaging, documentation, and tests.
• Support and update legacy dashboards in Tableau/Looker and transition workloads to Streamlit-based tools.
• Collaborate with DBT and data platform teams (e.g., Snowflake) to update pipelines.

Conocimientos

Python

Databases

SQL

Data Engineering

AI Usage

Streamlit

AI agents skills development

Dashboard development

Snowflake

DBT

Machine Learning

Data Visualization Tools

Herramientas

Python libraries

Descripción del empleo

Job Description

About the Role

We are looking for a versatile BI Developer with strong technical expertise across multiple domains, comfortable working within Agile methodologies. This role requires a professional adept at blending software engineering, dashboard development, and cutting-edge areas like AI and Cloud technologies.

Our Ideal Candidate

Our ideal candidate is someone with a strong core Python foundation, high learning agility, and curiosity, rather than just a fixed checklist of years on a single tool. They are looking to expand their software development experience but genuinely care about building impactful data products. They care deeply about the \"why\" behind the code, constantly checking why a tool is necessary, why an architectural choice is better, and how their work impacts the end user. They are proactive, comfortable wearing multiple hats, and eager to pivot between building a new library and maintaining a legacy data pipeline.

What We Are Not Looking For

Conversely, we are not looking for traditional data analysts whose primary focus or interest lies in building standard dashboards or conducting business analysis. The wrong fit for this role is a rigid specialist or a surface-level scripter who prefers to stay strictly within a single solution, requires hyper-detailed instructions, and blindly clears tickets without questioning if the solution actually makes sense or if there is a better way to build it.

Key responsibilities include:

• Design and develop an internal Python library to streamline and standardize Streamlit application development across the organization.
• Create reusable UI components, layout templates, and streamlined AI/LLM wrappers within the library to empower internal teams to build data apps quickly.
• Enforce software development best practices, including robust version control, package distribution, documentation, and automated testing for the internal framework.

Data Pipeline & BI Maintenance

• Support and update legacy dashboards built in Tableau and Looker as needed.
• Ensure the stability and uptime of current data systems while transitioning relevant workloads toward Streamlit-based tools.
• Help the dbt team define scopes and requirements to update existing data pipelines built in DBT.

Required skills

• Python: 3+ years
• Databases Experience: 2+ years
• SQL: 2+ years
• Data Engineering : 1+ years
• AI Usage: 1+ years developing with support of AI coding agents

Desirable Qualifications (Nice to Have):

• Streamlit
• AI agents skills development
• Dashboard development
• Snowflake or other data platforms (AWS, GCP, Azure)
• DBT
• Machine Learning / Artificial Intelligence (AI)
• Data Visualization Tools (e.g., Tableau, Looker)

#LI-MR7

Please note that anyone hired into this position must be physically located in and plan to work from Mexico City (CDMX) or Mexico State (Estado de Mexico).

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Equal Opportunity Statement

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer.

If you are based in the United States and would like more information about your EEO rights under the law.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to [e-mail] with your specific accommodation request.