Data Engineer

Element Fleet Management; Ciudad de México; Híbrido; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading fleet management company in Mexico City is seeking a Sr. Data Engineer to support the development of high-performance data pipelines. The role involves building scalable ETL workflows, working with SQL and cloud technologies, and collaborating with teams to ensure data quality. Candidates should have a bachelor's degree and 3-5 years of relevant experience, along with strong skills in data transformation and programming in R/Python.

Servicios

Competitive base salary

Annual bonus

Savings fund and savings account

Retirement plan with company contribution

Grocery and restaurant vouchers

Support for sports activities

Medical and life insurance

Flexible schedules

Hybrid work model

Free parking

Formación

• 3-5 years' experience in positions related to data engineering.
• Use of an ETL tool for data transformation and automation.
• Experience working in dynamic groups and independently.

Responsabilidades

• Translate business requirements into functional and technical implementations.
• Build and maintain scalable ETL/ELT pipelines for AI and data analytics.
• Collaborate with team members to optimize data processing workflows.

Conocimientos

Data transformation

Automation of manual processes

Advanced SQL queries

ETL tools (Talend / Qlik Replicate)

R/Python programming

Experience with cloud technologies

Advanced English (B2)

Educación

Bachelor's degree in IT, engineering, mathematics, statistics

Herramientas

Power BI

JIRA

Descripción del empleo

Overview

Get started on an exciting career at Element! Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team.

As a Sr. Data Engineer at Element Fleet, you will support the development of scalable, high-performance data pipelines. This role is a great opportunity for someone eager to work with big data, cloud technologies, and AI infrastructure, while gaining hands-on experience in data engineering best practices. You will be working closely with data scientists, ML engineers, business users and SMEs to ensure the availability, quality, and efficiency of data for analytics, dashboards and AI applications. You will communicate your findings and collaborate on product development. Outcome of your work will serve multiple business purposes, from commercialized software solution development, driving internal business decisions, to consulting external clients.

Responsibilities

• Translate business requirements into functional and technical implementations
• Assess the effectiveness and accuracy of new data sources and collaborate with global team to automate data replication to our Data Warehouse (Snowflake).
• Build and maintain scalable ETL/ELT pipelines to support AI and data analytics workflows.
• Work with databases (SQL, NoSQL) to ensure efficient data storage, retrieval, and transformation.
• Optimize data processing workflows for performance, scalability, and cost efficiency.
• Implement and monitor data quality checks to ensure data integrity and consistency through different techniques
• Use statistical computer languages (R, Python, SQL, SAS, etc.) to manipulate data and draw insights from large data sets.
• Stay updated with the latest trends in data engineering, cloud computing (AWS, GCP, Snowflake, etc) and AI infrastructure.
• Collaborate with data scientists, data analysts, SMEs, engineers and business users to design data pipelines ensuring best practices.
• Proactivity in optimizing processes and ability to communicate complex solutions in a simple, actionable way

Education and Experience

• Bachelor’s degree in an area related to IT, engineering, mathematics, statistics, etc
• 3-5 years\' experience in positions related to data engineering
• Experience in data transformation, automation of manual processes
• Advanced SQL queries / Stored Procedures creation
• Use of an ETL tool (Talend / Qlik Replicate)
• Power BI or another related BI tool
• Programming language: R/Python and creation of scripts
• Experience with tools for data modeling, data cleansing
• Experience working in dynamic groups, taking initiative, working independently, and collaborating with others when necessary.
• Experience working with cloud technologies (AWS, GCP, Snowflake, etc)
• Advanced English (At least B2)

Knowledge and Competencies

• Ability to convert an idea into a tangible solution
• Accountable & Responsible
• Team Building
• Critical Thinking & Innovative
• Good communication both verbal and written in English and Spanish
• Strong facilitation and organizational skills (Task Management)
• Proactive
• Proficient in using JIRA

What’s in it for You

At Element, we recognize our team\'s efforts with a competitive compensation package and benefits that go beyond legal requirements:

• Competitive base salary
• Annual bonus
• Savings fund and savings account
• Retirement plan with company contribution
• Grocery and restaurant vouchers
• Support for sports activities

Additionally, we offer non-monetary benefits that enhance your quality of life, serve the needs of you and your family and foster a culture of wellness: medical and life insurance, flexible schedules, a hybrid work model, and free parking.

We are a culture of innovation, empowerment, decision-making, and accountability.

Candidates must be willing to comply with a pre-employment background check.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, gender identity, age, sex, sexual orientation, disability, national origin, Aboriginal/Native American status, protected veterans’ status or any other legally-protected factors. Disability-related accommodations during the application and interview process are available upon request. Should you require an accommodation with our hiring process please send an email to [e-mail] or call 55 5018 7100.