Data Engineer - Analytics Support

PT XLSMART Telecom Sejahtera Tbk; Jakarta Pusat; On-site; IDR 200,880,000 - 390,600,000; Full time

Job summary

PT XLSMART Telecom Sejahtera Tbk in Jakarta seeks a Data Solution Specialist to transform complex business requirements into reliable data assets. You will design end-to-end data pipelines, ensure data quality, and deliver trusted enterprise views for strategic analysis and growth.

Collaborate with governance, analytics, IT, and business units to build scalable, high-performance data solutions while maintaining data accuracy and accessibility.

Qualifications

• 2-5 years' experience in Data Engineering or related roles.
• Experience designing data pipelines and data integration frameworks.
• Experience with cloud platforms and data tooling.

Responsibilities

• Assess business needs and execute end-to-end data transformation.
• Build scalable, high-quality data pipelines and enterprise views.
• Collaborate with governance, analytics, IT, and business units.
• Ensure data accuracy, accessibility, and value realization.

Skills

Data pipelines design

Data integration

Data transformation

Data profiling

Data quality assurance

Data documentation

Reporting

Python

REST API

Unix/Linux

Education

Bachelor’s Degree in Computer Science or related field

Tools

AWS

GCP

Snowflake

Data Lake Compute

PowerBI/Tableau

Job description

Description
Job Accountabilities :
Data Solution (DS) plays a critical role in enabling data-driven decision‑making across XLSMART by transforming complex business requirements into reliable, high‑quality data assets.
The role is responsible for assessing business needs and executing end‑to‑end data transformation processes, ensuring data from multiple sources is integrated into a standardized, consistent, and trusted enterprise view that supports strategic analysis, operational efficiency, and business growth.
DS will collaborate closely with cross‑functional stakeholders, including the Data Governance & Architecture Team, Analytics & AI Team, Core & IT System Team, Service Operation Management Team, and Business Units, to design and deliver scalable, sustainable, and high‑performance data pipelines.
These solutions will support key strategic initiatives, cross‑functional task forces, and business‑as‑usual (BAU) operations while strengthening the organization’s overall data ecosystem.
The scope of the DS role includes Data Profiling, Data Mapping, Data Transformation, Data Quality Assurance, Data Documentation, and Reporting, with a strong focus on ensuring data accuracy, integrity, accessibility, and business value realization across the enterprise.
Technical Capabilities

• 2 - 5 years' experience in Data Engineering or Digital & High Technology roles.
• Experience designing data pipelines, integration, metadata, and master data management.
• Experience implementing cloud solution, big data strategies, data integration framework, and best practices in practical ways.
• Technical competency and experience working with:
• Cloud Platform: AWS (S3, Athena, Redshift, EMR, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer)
• Data Platform: Snowflake, Tencent Data Lake Compute (DLC) (optional)
• Code Languages: Python, Java, REST API, Ab Initio (optional) or similar tooling for data engineering & big data.
• Operating Systems: Unix, RedHat, Linux
• Network Protocol: SCP, SFTP, FTP, SSH
• Format Messages: Text, XML, JSON, Protobuf
• CI/CD Tool
• Data Visualization: PowerBI, Tableau (optional)
• Ability to communicate and influence at leadership level with gravitas and conviction.
• Ability to explain complex concepts and present integrated data to the non‑technical stakeholders.
• Ability to embrace and adapt changes in a dynamic environment.
• Experience in telecommunication is highly desirable.
  

Education
Bachelor’s Degree (S1) in Computer Science, Information Technology, Engineering, or a related technical field.
Employment Status: Permanent