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 general 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 ****:**** (QMS), ISO *****:**** (ISMS), ISO *******:**** (ITSM) and ISO *****:**** (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 /
#J-*****-Ljbffr

📌 Data Platform Engineer (Python, Gcp, Airflow & Terraform) Level Iii - Mexico Only (Monterrey)
🏢 Confiz
📍 Monterrey