Senior Data Solutions Engineer

Luxoft Germany; George Town; On-site; MYR 120,000 - 200,000; Full time

Job summary

Luxoft Germany in Malaysia seeks a versatile Data Solutions Engineer to support the complete data lifecycle—from ingestion and engineering to analytics, visualization, and API enablement.

The role blends strong data engineering fundamentals with working closely with business stakeholders, developing reporting solutions, and contributing to AI use cases. You may rotate among data engineering, analytics, and visualization initiatives depending on project priorities.

Qualifications

• Must have experience designing and implementing scalable data pipelines.
• Experience with cloud-based data platforms and BI tools.
• Strong background in data modeling, governance, and transformation patterns.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ETL/ELT processes.
• Develop data ingestion, transformation, and aggregation workflows.
• Ensure data quality, reliability, and performance.
• Develop solutions using cloud-based data platforms.
• Build and optimize data processing notebooks and workflows.
• Work with Data Lakes, Lakehouse architectures, and distributed data processing technologies.
• Support CI/CD and deployment activities for data solutions.
• Collaborate with business users to gather and clarify requirements.
• Translate business needs into analytical and technical solutions.
• Develop KPI calculations, reporting logic, and support data exploration for business insights.
• Build dashboards and reports to enable self-service analytics and decision-making.
• Develop and maintain APIs to expose data products and integrate with consuming applications.

Skills

Python

SQL

Databricks

Apache Spark

PySpark

Azure

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

Synapse Analytics

Microsoft Fabric

ETL/ELT

Data Modeling

Data Pipeline Development

FastAPI

Flask/REST API

Power BI

Tableau

Looker

Job description

Project description

We are looking for a versatile Data Solutions Engineer capable of supporting the complete data lifecycle, from data ingestion and engineering to analytics, visualization, and API enablement.The ideal candidate combines strong Data Engineering fundamentals with the ability to work closely with business stakeholders, develop reporting solutions, and contribute across multiple data-related initiatives. Exposure to Data Science and AI use cases is considered an advantage.This role requires a flexible mindset, as the engineer may rotate between Data Engineering, Data Analytics, and Data Visualization initiatives depending on project priorities.

Responsibilities

• - Design, develop, and maintain scalable data pipelines.
• - Build and optimize ETL/ELT processes.
• - Develop data ingestion, transformation, and aggregation workflows.
• - Ensure data quality, reliability, and performance.
• - Develop solutions using cloud-based data platforms.
• - Build and optimize data processing notebooks and workflows.
• - Work with Data Lakes, Lakehouse architectures, and distributed data processing technologies.
• - Support CI/CD and deployment activities for data solutions.
• - Collaborate with business users to gather and clarify requirements.
• - Translate business needs into analytical and technical solutions.
• - Develop KPI calculations, reporting logic, and support data exploration for business insights.
• - Build dashboards and reports to enable self-service analytics and decision-making.
• - Develop and maintain APIs to expose data products and integrate with consuming applications.

SKILLS

Must have

• Programming:- Python- SQLData Engineering:- Databricks or Apache Spark / PySparkCloud Platform:- Microsoft AzureExamples:Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure, Synapse Analytics, Microsoft FabricData Processing:- ETL / ELT- Data Modeling- Data Pipeline DevelopmentAPIs:- FastAPI (preferred)- Flask / REST API development experience acceptableData VisualizationAt least one of:- Power BI- Tableau- Looker- Similar BI platform

Nice to have

Data Science & AIMachine Learning fundamentalsPredictive AnalyticsAI/ML model integrationStatistical analysisAdvanced Data PlatformAzure SynapseMicrosoft FabricAzure MLSnowflakeDevOpsAzure DevOpsGitCI/CD pipelines