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1,962

Python jobs in Mexico

GCP Senior Data Engineer

Financecolombia

Monterrey
On-site
MXN 60,000 - 90,000
30+ days ago
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Senior GCP Data Engineer – Cloud Data & ML Ops

Financecolombia

Monterrey
On-site
MXN 60,000 - 90,000
30+ days ago

Data Analyst Senior

Cummins México

San Luis Potosí
Hybrid
MXN 800,000 - 1,000,000
30+ days ago

Tech Lead (w Python) | Remote | Startup Transforming legal tech with AI

Atomic - Remote Jobs

Región Centro
Remote
MXN 200,000 - 400,000
30+ days ago

Analisita de Datos Senior

Cummins México

San Luis Potosí
Hybrid
MXN 40,000 - 60,000
30+ days ago
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Back End Java

Financecolombia

Ciudad de México
On-site
MXN 928,000 - 1,300,000
30+ days ago

Senior DevOps Engineer

Nortal

Mexico
Remote
MXN 60,000 - 80,000
30+ days ago

Data Scientist

HCLTech

Ciudad de México
On-site
MXN 1,113,000 - 1,671,000
30+ days ago
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Senior Machine Learning Engineer, Ad Performance

Launch Potato

Ciudad de México
On-site
MXN 1,299,000 - 1,671,000
30+ days ago

Software Developer#

Willis Towers Watson

Ciudad de México
On-site
MXN 400,000 - 600,000
30+ days ago

Software Developer - Azure Cloud, Risk Tech & Global Team

Willis Towers Watson

Ciudad de México
On-site
MXN 400,000 - 600,000
30+ days ago

Senior Solutions Architect

NTT DATA, Europe & LATAM, Branch in USA, Inc.

Ciudad de México
Remote
MXN 1,485,000 - 2,043,000
30+ days ago

Sr Engineer, Machine Learning/Artificial Intelligence

Insulet Corporation

Nayarit
On-site
MXN 1,392,000 - 1,857,000
30+ days ago

Principal Platform Engineer - Data & Ai

Equinix

León
On-site
MXN 1,856,000 - 2,414,000
30+ days ago

Technical Account Manager

Samsara

Pachuca
Remote
MXN 1,485,000 - 2,228,000
30+ days ago

Engineering Manager, Backend SaaS – Reboot Ubuntu Landscape

Canonical

Mérida
On-site
MXN 1,856,000 - 2,600,000
30+ days ago

Senior ML Engineer, Real-Time Recommendations (Remote)

Launch Potato

Puebla de Zaragoza
On-site
MXN 1,485,000 - 2,228,000
30+ days ago

Senior ML Engineer, Recommendation Systems

Launch Potato

Puebla de Zaragoza
On-site
MXN 1,485,000 - 2,228,000
30+ days ago

Engineering Manager - Mlops & Analytics

Canonical

Mérida
On-site
MXN 1,670,000 - 2,785,000
30+ days ago

Engineering Manager - Mlops & Analytics

Canonical

Morelia
On-site
MXN 1,856,000 - 2,785,000
30+ days ago

Remote MLOps & Analytics Engineering Lead

Canonical

Morelia
On-site
MXN 1,856,000 - 2,785,000
30+ days ago

Senior Full Stack Engineer (React/Python/AWS) - UI Focus

Mitratech

Mexico
Remote
MXN 1,112,000 - 1,669,000
30+ days ago

Ingeniero de Monitoreo

CGS CONSULTORES

Ciudad de México
Hybrid
MXN 200,000 - 400,000
30+ days ago

DevOps Specialist

Amdocs

Región Centro
On-site
MXN 1,297,000 - 1,669,000
30+ days ago

Cloud Solutions Architect

Cloudera

Mexico
Hybrid
MXN 1,482,000 - 2,225,000
30+ days ago

Top job titles:

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Top companies:

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GCP Senior Data Engineer
Financecolombia
Monterrey
On-site
MXN 60,000 - 90,000
Full time
30+ days ago

Job summary

A technology consulting firm in Monterrey is seeking a Data Engineer to work on cloud migration strategies and deliver robust data solutions. Responsibilities include analyzing systems, implementing data strategy, and enhancing data landscapes. Ideal candidates should have expertise in SQL, Python, and cloud technologies. This position offers a competitive salary package and career development opportunities.

Benefits

Competitive salary package
Career coaching
Hybrid work options
Global internal wellbeing programme

Qualifications

  • Expert knowledge of SQL and at least one language used in Data Analytics/Science (Python, R, SAS).
  • Understanding of the entire software development lifecycle, CI/CD, and Data/MLOps approach.
  • Experience working with relational and NoSQL databases.

Responsibilities

  • Working with customers to analyze existing systems and prepare migration plans.
  • Defining and implementing cloud data strategy including security posture.
  • Deliver end-to-end data solutions from concept to production rollouts.

Skills

SQL
Python
R
Apache Airflow
Looker
Docker

Education

Cloud certifications such as Associate Cloud Engineer

Tools

PowerBI
Tableau
Jenkins
Job description
Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world‑class engineering, industry expertise and a people‑centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real‑world impact – be part of a global shift by doing work that matters.

Job Description

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data‑driven decision‑making and innovation through advanced analytics and predictive modeling.

Responsibilities
  • Working with Endava’s customers to analyze existing systems and prepare a plan for migrating databases and data processing systems to the cloud.
  • Defining and implementing cloud data strategy including security posture, target operating model, DR strategy and others.
  • Deliver end‑to‑end data solutions – from early concept and planning, through early PoCs and benefits analysis, all the way to production rollouts.
  • Enhance the client’s data landscape by improving data lineage, quality and reliability.
  • Help organizations adopt AI/ML‑based solutions by introducing MLOps culture.
  • Be part of the technical advisory and cloud infrastructure team responsible for securing foundational Data Lakes and Data Meshes implementations, automated provisioning of infrastructure and pipelines, cloud‑ready ETL/ELT architectures.
  • Present analytical findings on cutting‑edge BI Dashboards.
Qualifications
  • Understanding of the entire software development lifecycle, CI/CD, and Data/MLOps approach.
  • Expert knowledge of SQL and at least one language used in Data Analytics/Science (Python, R, SAS).
  • Knowledge of at least one programming language (Java, C#, C++).
  • Knowledge of Big Data and orchestration tools such as Apache Airflow or Spark.
  • Experience working with relational and NoSQL databases.
  • Hands‑on experience with BI tools (Looker, PowerBI, Tableau, DataStudio).
  • Basic understanding of GIT and various automation servers (Jenkins, CircleCI, GitLab CI).
  • Knowledge of messaging systems.
  • Basic knowledge of containers, Docker, and Kubernetes.
  • Cloud certifications such as Associate Cloud Engineer are an asset.
Additional Information
  • Finance: Competitive salary package, share plan, company performance bonuses, value‑based recognition awards, referral bonus.
  • Career Development: Career coaching, global career opportunities, non‑linear career paths, internal development programmes for management and technical leadership.
  • Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass‑it‑on sessions, workshops, conferences.
  • Work‑Life Balance: Hybrid work and flexible working hours, employee assistance programme.
  • Health: Global internal wellbeing programme, access to wellbeing apps.
  • Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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