Engineer, Information Systems

MODEC; Kuala Lumpur; On-site; MYR 90,000 - 160,000; Full time

Job summary

OFS Malaysia, a MODEC Group company, is seeking an experienced Engineer, Information Systems to design, build, operate and continuously improve databases, data pipelines and BI solutions in Kuala Lumpur. Based at KL Eco City, this role supports information management and analytics across the organization.

You will develop ETL/ELT with SQL and Python, create Power BI reports with secure data access, and collaborate with business teams to translate requirements into scalable data architectures.

Qualifications

• Bachelor’s in IT/CS/Engineering or equivalent
• Minimum 5 years in Data Engineering/Data Analytics in Oil & Gas EPC
• Experience deploying end-to-end data solutions in the sector

Responsibilities

• Design, build, and operate batch data pipelines
• Develop ETL/ELT using SQL and Python; enforce standards
• Design practical data models and optimize SQL
• Ensure data quality via tests and governance
• Design, build, and operate Power BI reports and dashboards
• Collaborate with business stakeholders to gather BI requirements

Skills

Power BI

SQL

Python

C#

Data modeling

Data architecture

ETL/ELT

BI reporting

Data governance

Education

Bachelor’s in IT/CS/Engineering

Tools

SQL Server

Azure

Python

Power BI

REST APIs

Spark

Metabase

Snowflake

GraphDB

NoSQL

Triplestore

Docker

Github

Airflow

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 and 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.