Senior Data Engineer - AI-Driven Energy Platform

Luxoft; México; Remote; MXN 900,000 - 1,200,000; Full time

Job summary

Luxoft is seeking an autonomous data engineer to strengthen our data foundation for an energy platform using Ruby on Rails, Node.js/TypeScript and Python services on AWS. You will design robust pipelines and well-modeled schemas to turn raw data into analytics-ready insights.

You will collaborate with product teams to define criteria, onboard client data via Delta Sharing, and ensure reliable, automated pipelines with quality tests and schema-change handling.

Qualifications

• Own end-to-end production data pipelines as an autonomous IC.
• Experience designing and building production ingestion pipelines from APIs, files, and shared-data sources with a workflow orchestrator (Airflow, Dagster, Step Functions).
• Production experience with a cloud data warehouse (Snowflake preferred).
• Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript.
• AWS or another enterprise cloud platform.
• AI-native development and scaling AI workflows across a team including CI/CD.
• Strong English communication skills.

Responsibilities

• Define and execute technical criteria with product teams.
• Architect and maintain data ingestion pipelines feeding both the app and analytics.
• Design well-modeled, layered tables with clean schemas for analytics-ready data.
• Onboard client data from sources (e.g. Databricks via Delta Sharing) and integrate with existing services/workflows.
• Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema-change handling.
• Build a documented, well-tested data foundation for the app, analytics and future AI use cases.

Skills

End-to-end pipelines

SQL

Python

Node.js/TypeScript

Snowflake

AWS

AI-native development

English communication

Autonomous IC

Tools

Airflow

Dagster

Step Functions

Databricks

Delta Sharing

Terraform

Job description

Luxoft is seeking an autonomous data engineer to strengthen our data foundation for an energy platform using Ruby on Rails, Node.js/TypeScript and Python services on AWS. You will design robust pipelines and well-modeled schemas to turn raw data into analytics-ready insights.

You will collaborate with product teams to define criteria, onboard client data via Delta Sharing, and ensure reliable, automated pipelines with quality tests and schema-change handling.