Data Compliance Engineer

Rge; Indonesia; On-site; IDR 180,000,000 - 240,000,000; Full time

Job summary

Rge is seeking a Data Compliance Engineer in Indonesia to ensure the accuracy and reliability of LiDAR datasets used for geospatial analyses. You will design and apply QA/QC protocols, collaborate with data engineers, field teams, and GIS specialists to resolve data issues, document quality processes, and support production deployments across Forest Inventory, Mapping, and related applications.

Applicants should have a strong background in geospatial data processing and experience with Python or

Qualifications

• Master's in Computer Science, Geoinformation Science, or closely related discipline.
• OR Bachelor Degree with some exposure in Data Science.

Responsibilities

• Data acquisition and QA of LiDAR data before production deployment.
• Coordinate with customers to incorporate feedback and deliverables.
• Run QA tests on LiDAR data (Density, Accuracy, Nomenclature, Landuse, Coverage).
• Perform root cause analysis with field teams to meet IOP targets.
• Develop and manage spatial databases and data workflows.
• Prepare technical reports and SOPs for remote sensing workflows.

Skills

Geospatial validation

Python scripting

R language

MATLAB

Six Sigma/LEAN

Education

Master's degree in Computer Science / Geoinformation Science

Bachelor degree with data science exposure

Tools

SPC

Data quality software

Job description

Data Compliance Engineer

Perusahaan : Rge Jenis Pekerjaan : Full-Time Indonesia

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You are on a journey to join an exciting Company and be part of our success story to improve lives by developing resources sustainably. Here we offer you an exciting and dynamic work environment and will equip you with the know-how that will stretch and enhance your career journey.

Responsibilities

Purpose: The Remote Sensing Data Quality Assurance Analyst ensures the accuracy, consistency, and reliability of LiDAR datasets used in geospatial analysis and decision-making. This role focuses on developing and applying Quality Analyses (QA)/Quality Check (QC) protocols to validate LiDAR point clouds, derived products, and metadata against project specifications and operational standards. The analyst works closely with data engineers, geospatial data analysts, field teams, and Geographic Information Systems specialists to detect and resolve data anomalies, document quality processes, and provide actionable insights that improve LiDAR workflows, modeling accuracy, and end-user confidence.

Roles and Responsibilities

Project Execution

• Data acquisition, coordination, quality assurance of the data before deploying to the production server.
• Close coordination with potential customers, incorporating feedback and requisite deliverables.

Database Management

• Running QA tests (Density, Accuracy, Nomenclature, Landuse, Coverage) on all LiDAR data from different applications.
• Root cause analysis and action plan in coordination with field customer and field crew to ensure IOP targets.
• Data transfer and compilation in the storage server.
• Deployment of data in the production server for all Forest Inventory, Microplanning, and Tree improvement applications.
• Collaborate with other divisions to ensure data accuracy and reliability.
• Continuous optimization of the dataset lifecycle policy, curation workflow.
• Develop/build and manage spatial databases linking with other organizational database management systems and create channels for user interaction.
• Support the development of processes for efficient & effective QA/QC of remote sensing data (LiDAR + Optical).
• Day-to-day data curation activities, processing, tracking, validation, and resolution of data quality issues.

Coordinating & Reporting

• Manage subordinates effectively and ensure project progress.
• Provide suggestions to the remote sensing manager for new ideas and implementations.
• Provide routine reports and operational recommendations to the remote sensing manager regarding project progress and challenges faced.
• Prepare technical reports or presentations on the results of developmental projects.
• Develop standard operational procedures to guide the operational implementation of remote sensing workflows.

Qualifications

• Preferably, Masters in Computer Science, Geoinformation Science, or closely related discipline.
• OR Bachelor Degree with some exposure in Data Science.

Experience

• Previous quality assessment experience preferably at a management level; proven track record of delivering quality solutions.
• Proven experience with modern quality improvement tools – SPC, capability studies, root cause analysis (fishbone, why-why analysis etc.).
• Experienced in geospatial data validation & calibration procedure, Automated quality control algorithms, quality metadata & documentation.
• Experience in big data management with demonstrated skills in processing, automation, compilation/integration, and deployment in the processing/production server.
• Knowledge about remote sensing, GIS technologies, software & tools and development of datasets & documentation of Earth science data.
• Proficiency with interpreted data languages for Earth science data using either Python, MATLAB, R, IDL, JavaScript etc.
• Six Sigma/LEAN processing certified preferred but not required.
• Competency in project development & deployment strategy.
• Building cross-functional relationships to collaborate with business stakeholders and internal stakeholders/customers.
• Excellent communication, interpersonal and presentation skills. Able to relate technical information to all levels of the organization.

Specific Knowledge

• Awareness of market trends and innovations in UAV, Satellite & LiDAR technologies.
• Proficient in statistical & spatial analytics for informed business decisions.
• Understanding of remote sensing data structure and applications in various disciplines.
• Knowledge of artificial intelligence, deep/machine learning methods applicable to remote sensing.
• LiDAR & optical data structure, spatial database management & processing.
• Compilation & integration of model scripts, geospatial applications.
• Expert in geospatial data processing & automation using different programming languages as well as GIS applications.

Disclaimer

When you send us your resume and personal details, it is deemed you have provided your consent to us retaining your information in our talent recruitment database. All information provided will only be used for the recruitment process. RGE will only collect, use, process or disclose personal information where and when allowed to under applicable laws.

Only shortlisted candidates will be contacted for an interview. We endeavour to respond to every applicant. However, if you do not receive a response from us within 60 days, please consider your application for this position unsuccessful. We may contact you in the future for any opportunities that match your qualifications and experience.