Senior Data Backend Engineer (Python / Databricks / Azure)

Luxoft; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

Luxoft is hiring a senior data/ software engineer to design scalable data processing solutions for a premium OEM across Asia. You will build robust data pipelines, develop FastAPI-based APIs, and optimize SQL/data models, while aligning with Azure cloud deployments and CI/CD practices.

The role emphasizes mentoring junior engineers, collaborating with analysts and stakeholders, and delivering high-quality data products for Sales, Marketing, or Business Planning.

Qualifications

• 5+ years of software/data engineering experience.
• Hands-on experience with Databricks.
• Strong SQL and data modeling skills.
• Experience developing APIs with FastAPI.
• Experience with Azure cloud services.
• Understanding of ETL/ELT concepts and data pipeline design.
• Experience with Git and CI/CD pipelines.

Responsibilities

• Design and develop scalable data processing solutions using Python and Databricks.
• Build and maintain data pipelines for ingestion, transformation, and aggregation of business data.
• Develop REST APIs using FastAPI to expose data and analytical services to consuming applications.
• Design and optimize SQL queries and data models.
• Collaborate with business analysts, data engineers, and product stakeholders to translate business requirements into technical solutions.
• Deploy and maintain solutions on Microsoft Azure.
• Drive best practices in performance optimization, monitoring, testing, and code quality.
• Mentor junior engineers and contribute to architectural decisions.

Skills

Databricks

SQL/Data Modeling

FastAPI

Azure Cloud

ETL/ELT

Git & CI/CD

Mentoring

Job description

• Development of a sales planning and analytics platform for a premium German OEM in the Asia region, enabling data-driven business decisions through scalable data processing, integration, and API-based data consumption.

Responsibilities:

• -Design and develop scalable data processing solutions using Python and Databricks
• -Build and maintain data pipelines for ingestion, transformation, and aggregation of business data
• -Develop REST APIs using FastAPI to expose data and analytical services to consuming applications
• -Design and optimize SQL queries and data models
• -Collaborate with business analysts, data engineers, and product stakeholders to translate business requirements into technical solutions
• -Deploy and maintain solutions on Microsoft Azure
• -Drive best practices in performance optimization, monitoring, testing, and code quality
• -Mentor junior engineers and contribute to architectural decisions

Mandatory Skills Description:

• - 5+ years of software/data engineering experience
• - Hands-on experience with Databricks
• - Strong SQL and data modeling skills
• - Experience developing APIs with FastAPI
• - Experience with Azure cloud services
• - Understanding of ETL/ELT concepts and data pipeline design
• - Experience with Git and CI/CD pipelines

Nice-to-Have Skills Description:

• Experience with Azure Data Factory
• Experience with Azure Synapse Analytics
• Knowledge of Spark/PySpark
• Experience building data products for Sales, Marketing, or Business Planning