GCP Senior Data Engineer

Financecolombia; Monterrey; Presencial; MXN 60,000 - 90,000; Jornada completa

Descripción de la vacante

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.

Servicios

Competitive salary package

Career coaching

Hybrid work options

Global internal wellbeing programme

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

SQL

Python

R

Apache Airflow

Looker

Docker

Educación

Cloud certifications such as Associate Cloud Engineer

Herramientas

PowerBI

Tableau

Jenkins

Descripción del empleo

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.