Senior Data Engineering

Marsh McLennan; Ciudad de México; Híbrido; MXN 1,440,000 - 1,801,000; Jornada completa

Descripción de la vacante

A global consulting firm in Mexico City is looking for a Senior Data Engineer to design and maintain Databricks pipelines and CI/CD workflows. The role requires at least 5 years of experience in data engineering, advanced proficiency in Python, SQL, and Spark, as well as practical experience on cloud platforms. This hybrid position mandates working in the office at least three days a week, promoting teamwork and professional development opportunities.

Servicios

Professional development opportunities

Vibrant and inclusive culture

Career opportunities and benefits

Formación

• Minimum 5 years of experience in data engineering or a related role.
• Strong proficiency in Python, SQL, and Spark.
• Practical experience with Databricks on a cloud platform.

Responsabilidades

• Design, implement, and operate Databricks-based data ingestion and transformation pipelines.
• Optimize Spark performance and manage large-scale data workflows.
• Build and maintain CI/CD for Databricks artifacts across environments.

Conocimientos

Python

SQL

Spark

Databricks

CI/CD workflows

Unity Catalog

English communication (C1 level)

Educación

Advanced degree in Computer Science or Engineering

Herramientas

Airflow

Docker

Kubernetes

Descripción del empleo

Senior Data Engineer

We are seeking a Senior Data Engineer to join our team at Marsh. This role will be based in Mexico City. This is a hybrid role that has a requirement of working at least three days a week in the office. As a Senior Data Engineer at Marsh, you will design, build, and maintain Databricks pipelines and CI/CD workflows. The role primary focus is Databricks and Spark: you will deploy and operate scalable Spark-based data pipelines and ML workflows on a cloud platform, ensuring production‑grade reliability, governance, and data security. Unity Catalog knowledge is essential.

We will count on you to:

• Design, implement, and operate Databricks‑based data ingestion, transformation, and ML pipelines on a cloud platform.
• Optimize Spark performance and manage large‑scale data workflows for reliability and cost‑effectiveness.
• Build and maintain CI/CD for Databricks artifacts (notebooks, jobs, Repos, Git integration) across dev/UAT/prod environments.
• Apply ETL/ELT best practices, ensure data quality, security, and compliance.
• Partner with business units to refine data collection, integration, and retention strategies.
• Monitor and improve data reliability and system efficiency.

What you need to have:

• Minimum 5 years of experience in data engineering or a related role.
• Advanced degree in Computer Science, Engineering, or a related field.
• Strong proficiency in Python, SQL, and Spark.
• Practical experience with Databricks on a cloud platform.
• Unity Catalog experience (essential).
• Proven track record of deploying Databricks pipelines to production.
• Experience building CI/CD workflows for Databricks (Git integration, Repos, environment promotion).
• Excellent English communication skills (C1 level).

What makes you stand out:

• Orchestration (Airflow/Dagster), feature stores, event buses.
• Kubernetes/Docker, API gateways, OAuth.
• Finance domain exposure (forecasting, anomalies, reconciliation, commentary) useful context, not mandatory.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well‑being.

Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office‑based teams will identify at least one “anchor day” per week on which their full team will be together in person.