Big Data Engineer: Automotive Analytics & Visualization

AVL Software and Functions GmbH; Ciudad de México; On-site; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Medical insurance for employees

Annual bonus for goals

Training programs

Kids Club

Job summary

AVL Software and Functions GmbH in Mexico City seeks a motivated Big Data Engineer to analyze large datasets from vehicle testing, develop data-driven solutions and create dashboards for international teams.

You will collaborate with data scientists and engineers across Europe to translate requirements into scalable analytics, automate reporting, and contribute to ongoing improvements in testing and validation processes.

Qualifications

• Bachelor’s or Master’s degree in a technical field such as Engineering, Data Science or Computer Science.
• Proficiency in Python with experience using Pandas, NumPy for data processing and analysis.
• Knowledge of statistics, data modelling, ML/AI concepts and data science fundamentals.
• Experience creating data visualizations with tools like Power BI, Matplotlib or Plotly.
• Basic SQL and version control (Git); familiarity with cloud data environments is advantageous.

Responsibilities

• Develop and maintain big data processing and analysis tools using Python.
• Process, clean and transform datasets from vehicle testing with ETL/ELT methods.
• Perform statistical analyses to find trends, correlations and anomalies.
• Create dashboards and technical reports to communicate insights.
• Collaborate with AVL engineers, data specialists and Barcelona-based teams.
• Automate repetitive data tasks and contribute to scalable data workflows.

Skills

Python

Pandas

NumPy

Data visualization

SQL

Git

Cloud environments

Communication

Education

Bachelor’s or Master’s degree in Engineering/ Data Science/ CS

Tools

Power BI

Matplotlib

Plotly

Job description

AVL Software and Functions GmbH in Mexico City seeks a motivated Big Data Engineer to analyze large datasets from vehicle testing, develop data-driven solutions and create dashboards for international teams.

You will collaborate with data scientists and engineers across Europe to translate requirements into scalable analytics, automate reporting, and contribute to ongoing improvements in testing and validation processes.