Data Platform Engineer (Python, GCP, Airflow & Terraform) Level III - Mexico Only

Confiz; Monterrey; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Confiz LATAM is seeking a Data Platform Engineer based in Mexico to design, develop, and maintain scalable data orchestration platforms. You will implement ETL/ELT pipelines, build self‑service capabilities for engineers and data scientists, and integrate diverse data sources using Kafka, BigQuery, GCS, and more.

The role emphasizes IaC with Terraform, Airflow orchestration, and Kubernetes, enabling batch and real‑time processing. Strong Python, SQL, and cloud data expertise are essential.

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5–7 years of professional experience in Data Engineering, Data Platform Engineering, or related software engineering roles.
• Strong professional programming experience with Python, including building and maintaining automation, services, and/or command‑line tools.
• Strong proficiency in SQL, particularly within modern cloud data environments such as BigQuery.
• Hands‑on experience designing and maintaining ETL/ELT pipelines and a solid understanding of modern data pipeline architecture.
• Experience with modern data transformation frameworks such as dbt.
• Strong hands‑on experience with Google Cloud Platform (GCP) data technologies, particularly BigQuery, GCS, and Dataproc Serverless.
• Strong experience with Infrastructure as Code (IaC), particularly Terraform, for provisioning and managing cloud data infrastructure.
• Hands‑on experience building and orchestrating data pipelines using Apache Airflow.
• Experience working with Kubernetes in data platform or cloud environments.
• Experience with streaming and event‑driven data technologies such as Kafka / Confluent Cloud.
• Working knowledge of data governance, metadata management, data cataloging, and data lineage concepts.
• Familiarity with CI/CD and Git‑based development workflows, including tools such as GitHub Actions.
• Experience using AI‑assisted developer tooling, including LLMs, Model Context Protocol (MCP), and/or copilot‑style productivity tools.
• Excellent problem‑solving and communication skills, with the ability to collaborate effectively across engineering and business teams.

Responsabilidades

• Design, evolve, and maintain scalable data orchestration platforms that simplify ETL/ELT operations and abstract the complexities of big data technologies.
• Build and maintain self-service platform capabilities for engineers, data scientists, and analysts.
• Develop and maintain integrations with diverse data sources and destinations, including Kafka, GCS, BigQuery, Postgres, and S3, supporting both batch and real‑time processing.
• Provision and manage cloud data infrastructure using Terraform, leveraging automated and version‑controlled IaC pipelines.
• Build, maintain, and orchestrate reliable data pipelines using Airflow and Kubernetes.
• Develop platform tooling, automation, services, and CLIs using Python.
• Build and operate metadata management, data cataloging, governance, and data‑lineage capabilities to make enterprise data discoverable and trustworthy.
• Design scalable and resilient solutions capable of handling large data volumes, high velocity, and diverse data formats.
• Apply modern CI/CD and Git‑based workflows to platform and data pipeline delivery.
• Evaluate and incorporate emerging big data, ETL, and AI‑assisted development technologies where appropriate.
• Create and maintain comprehensive technical and user documentation for platform capabilities and workflows.

Conocimientos

Python programming

SQL proficiency

ETL/ELT pipelines

dbt

GCP

Airflow

Terraform

Kubernetes

Kafka

Data governance

CI/CD

AI-assisted tooling

Communication

Educación

Bachelor’s or Master’s degree in CS/Engineering

Herramientas

Terraform

Airflow

BigQuery

GCS

Dataproc Serverless

Kubernetes

Kafka

Confluent Cloud

Looker/LookML

DataHub/Collibra/Amundsen

GitHub Actions

Descripción del empleo

IMPORTANT: This position is ONLY for candidates currently based in Mexico and legally authorized to work in Mexico. Applications from outside Mexico will be automatically REJECTED! CONSULTFIZ LATAM, a fully owned subsidiary of Confiz LLC, is looking for a Data Platform Engineer with strong experience in Python, GCP, Airflow, and Terraform to design, develop, and maintain scalable data orchestration platforms and self-service solutions. The ideal candidate will have hands‑on experience with ETL/ELT pipelines, cloud data infrastructure, data orchestration, streaming technologies, and Infrastructure as Code (IaC). This role is for a Fortune 500 client.

Responsibilities

• Design, evolve, and maintain scalable data orchestration platforms that simplify ETL/ELT operations and abstract the complexities of big data technologies.
• Build and maintain self-service platform capabilities for engineers, data scientists, and analysts.
• Develop and maintain integrations with diverse data sources and destinations, including Kafka, GCS, BigQuery, Postgres, and S3, supporting both batch and real‑time processing.
• Provision and manage cloud data infrastructure using Terraform, leveraging automated and version‑controlled Infrastructure as Code pipelines.
• Build, maintain, and orchestrate reliable data pipelines using Airflow and Kubernetes.
• Develop platform tooling, automation, services, and CLIs using Python.
• Build and operate metadata management, data cataloging, governance, and data‑lineage capabilities to make enterprise data discoverable and trustworthy.
• Design scalable and resilient solutions capable of handling large data volumes, high velocity, and diverse data formats.
• Apply modern CI/CD and Git‑based workflows to platform and data pipeline delivery.
• Evaluate and incorporate emerging big data, ETL, and AI‑assisted development technologies where appropriate.
• Create and maintain comprehensive technical and user documentation for platform capabilities and workflows.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5–7 years of professional experience in Data Engineering, Data Platform Engineering, or related software engineering roles.
• Strong professional programming experience with Python, including building and maintaining automation, services, and/or command‑line tools.
• Strong proficiency in SQL, particularly within modern cloud data environments such as BigQuery.
• Hands‑on experience designing and maintaining ETL/ELT pipelines and a solid understanding of modern data pipeline architecture.
• Experience with modern data transformation frameworks such as dbt.
• Strong hands‑on experience with Google Cloud Platform (GCP) data technologies, particularly BigQuery, GCS, and Dataproc Serverless.
• Strong experience with Infrastructure as Code (IaC), particularly Terraform, for provisioning and managing cloud data infrastructure.
• Hands‑on experience building and orchestrating data pipelines using Apache Airflow.
• Experience working with Kubernetes in data platform or cloud environments.
• Experience with streaming and event‑driven data technologies such as Kafka / Confluent Cloud.
• Working knowledge of data governance, metadata management, data cataloging, and data lineage concepts.
• Familiarity with CI/CD and Git‑based development workflows, including tools such as GitHub Actions.
• Experience using AI‑assisted developer tooling, including LLMs, Model Context Protocol (MCP), and/or copilot‑style productivity tools.
• Excellent problem‑solving and communication skills, with the ability to collaborate effectively across engineering and business teams.

Nice To Have

• Experience with AWS data and cloud technologies.
• Hands‑on experience with metadata, data cataloging, or data‑lineage platforms such as DataHub, Collibra, Amundsen, or similar tools.
• Experience with BI or semantic‑layer technologies such as Looker / LookML.
• Experience with data quality, observability, SLOs, error budgets, and production/on‑call operations for data platforms.
• Familiarity with distributed data processing frameworks such as Apache Spark.
• Experience with Java and/or Scala is a plus.

We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000‑1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting‑edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz/