Engineer, Information Systems

Offshore Frontier Solutions Malaysia Sdn. Bhd.; Kuala Lumpur; On-site; MYR 100,000 - 180,000; Full time

Job summary

OFS Malaysia, a MODEC Group company in Malaysia, seeks a hands-on Engineer, Information Systems to design, build, operate databases, data pipelines and BI solutions. You will support ETL/ELT processes, ensure data quality, and deliver scalable analytics in a fast-paced oil & gas environment.

Role requires practical experience with SQL/ETL, Python, and Power BI; proficiency in data modelling, governance, and cloud/on-prem migration is valued. Based in KL Eco City, Malaysia.

Qualifications

• Bachelor’s in IT/CS/Engineering (or equivalent).
• ≥5 years in Data Engineering/Data Analytics within the Oil & Gas EPC industry.
• Experience deploying end-to-end data solutions is highly valuable in Oil & Gas domain.

Responsibilities

• Ownership and accountability: support data pipelines, databases, BI workspaces and BI reports.
• Design, build, and operate batch data pipelines.

Skills

Data architecture

Data integration

System stability

Education

Bachelor’s in IT/CS/Engineering

Tools

SQL Server

Azure

Python

C#

Power BI

REST APIs

Spark

Metabase

Snowflake

GraphDB

NoSQL

Triplestore

Docker

Github

Airflow

CI/CD

Job description

OFS Malaysia is a subsidiary of Offshore Frontier Solutions Pte. Ltd. (OFS), a MODEC Group company in Malaysia. Being part of Modec means being the protagonist of a challenging career and being in touch with the latest deep-water production systems, knowing that your career begins in Malaysia, but your talent can take you anywhere in the world. If you want to be one of the greatest in the market, this is your opportunity! We are currently looking for talented individuals to join us for below role Engineer, Information Systems We are currently based at KL Eco City, Malaysia.

Role Purpose

Highly hands-on, self-driven Engineer, Information Systems required to support Information Management data stores and reporting systems. This role will design, build, operate, and continuously improve databases, data pipelines, and BI solutions to drive scalability, reliability, maintainability. Support senior engineer in design/build/operate databases; pipelines and ETL; orchestration; and Power BI reports. Apply standards - establish best practices, reusable frameworks, naming conventions for data stores and ETL. Stabilize then improve - evaluate current setup; identify quick wins and longer-term improvements. Modernize - plan/execute improvements (such as on-prem to cloud, architecture evolution, performance tuning, maintenance reduction)

Key Accountabilities

• Ownership and Accountability Support data pipelines, databases, BI workspaces, and BI reports.
• Design, build, and operate batch data pipelines.

Data Engineering & Modelling

• Develop ETL/ELT using SQL and Python (with C# as needed); enforce standards, reusable frameworks, and naming conventions.
• Design practical data models; optimize complex SQL; leverage incremental refresh and aggregations.
• Support the architecture of scalable databases and data models with performance-focused design.

Data Quality and Governance

• Ensure data quality via tests, validations, schema checks, and alerts; own incident response and remediation.
• Implement and document data quality controls to meet governance and audit requirements.
• Validate data mappings and transformations in collaboration with business teams.

Technology Utilization

• Design, build, and operate Power BI reports and dashboards with RLS/OLS.
• Monitor data quality metrics and KPIs through BI solutions.
• Drive improvements in dashboard consolidation, self-service analytics, and user experience.

Collaboration and Communication

• Partner with business stakeholders to gather and refine BI reporting requirements.
• Maintain strong documentation practices and promote knowledge sharing across teams.

Qualifications

• Education: Bachelor’s in IT/CS/Engineering (or equivalent).
• Experience: Minimum 5 years of experience in Data Engineering/Data Analytics within the Oil & Gas EPC industry. Experience deploying an end-to-end data solution is highly valuable Oil & Gas domain experience.

Competencies

• Technical: Experience with software & tools: SQL Server, Azure, Python, C#, Power BI, REST APIs Spark, Metabase, Snowflakes, GraphDB, NoSQL, Triplestore (nice to have) Docker, Github, Airflow CI/CD for data workflows; performance tuning for batch On-prem to Cloud migration experience Streaming data experience (nice to have).

Skills

• Strong data architecture and integration skills; environment discipline (Dev/Test/Prod) Proven ability to keep systems stable with minimal supervision.

Certifications

• PL-300 (Power BI Data Analyst Associate) certification.

Are you ready to take the next step in your career? At MODEC, we're looking for passionate and talented individuals like you to join our team playing multiple job roles. We believe in empowering our team members to thrive and grow, and we'd love to see how your skills and experience align with our mission.

Regards, MODEC Talent Acquisition Team