Senior Data Engineer APAC

LexisNexis; Malaysia; On-site; MYR 80,000 - 120,000; Full time

Job summary

A global information and analytics provider in Malaysia is looking for a Senior Data Engineer II to design and optimize data pipelines. The successful candidate will have over 5 years of experience in data management, ideally with a master's degree. Responsibilities include performing data loads, mentoring junior engineers, and innovating automation processes. The position requires strong technical skills, particularly in Python and SQL, along with a collaborative approach to work across various teams.

Benefits

Flexible working arrangements

Access to learning and development resources

Benefits for you and your family

Qualifications

• 5+ years in data management with technical competency.
• Master’s Degree preferred or equivalent experience.

Responsibilities

• Perform daily data loads and track updates.
• Produce efficient and repeatable code adhering to best practices.
• Innovate process improvements for efficient delivery.
• Train entry-level data engineers.

Skills

Data engineering principles

Agile methodologies

Data manipulation language

Problem solving

Attention to detail

Education

Master's Degree (Computer Engineering / Computer Science / Information Systems)

Tools

Python

SQL

Apache Spark

Azure

Power BI

Job description

About our Company

LexisNexis Legal & Professional, a division of RELX, is a global leader in providing information-based analytics and decision tools for professional and business customers. With a presence in over 150 countries and a workforce of 11,300 employees worldwide, we are committed to delivering exceptional service and innovative solutions.

About the Team

Our team, based in the APAC region, plays a crucial role in supporting all regional functions through comprehensive reporting and data‑driven insights. We are currently undergoing an exciting transition, enhancing our data capabilities and embracing Agentic Development, Machine Learning, and Predictive Analytics to better support our business objectives and drive growth.

Our team is composed of high‑performing professionals who collaborate across business units to deliver insights that shape strategic decisions. You’ll work closely with stakeholders across departments and geographies, mentoring junior analysts and supporting organisational development initiatives.

About the Role

This position performs complex research and data engineering assignments within an engineering functional area like our APAC Data Analytics group and provides direct input to project plans, schedules, and methodology in the development of cross‑functional programs. It also performs data‑engineering design across multiple systems, mentors more junior members of the team, and translates user and customer requests into solutions.

As a Senior Data Engineer II, you will design, build, and optimize scalable data pipelines and Lakehouse architectures that power advanced analytics and AI initiatives across the region. The role demands an automation‑first mindset and agentic thinking, proactively identifying opportunities to streamline workflows, reduce manual intervention, and embed intelligent automation into data processes. You will work closely with data engineers, data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and secure while driving innovation and mentoring team members to elevate engineering standards across APAC.

Responsibilities

• Perform daily data loads ensuring recurring updates are logged and tracked.
• Interface with other technical personnel or team members to document, interpret, and finalize requirements.
• Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.
• Write and review portions of detailed specifications for the development of data components.
• Complete complex data engineering bug fixes and issues, researching and identifying root causes as appropriate.
• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
• Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs.
• Innovate process improvements that enable efficient delivery and maintenance.
• Successfully implement development processes, coding best practices, and code reviews.
• Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
• Identify areas where it is an advantage to work with other teams to improve overall quality, and, with peers or others, implement initiatives improving capabilities and efficiency.
• Train entry‑level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.
• Keep abreast of new technology developments.
• Design and work with complex data models.

Requirements

• 5+ years in data management area with a technical competency required.
• Master’s Degree preferred (Computer Engineering / Computer Science / Information Systems preferred but not required); or equivalent experience required.

Technical Skills

• Advanced knowledge of software development methodologies (e.g., Agile, Waterfall).
• Strong proficiency with data manipulation language including optimization techniques.
• Strong understanding of normalized/dimensional data modelling principles.
• Strong knowledge of multiple data storage subsystems including logging, metrics, traces.
• Expertise in development languages including but not limited to: Python, SQL, Apache Spark, Scala, Java, Unix/Linux basics. Data formats: JSON, XML, CSV.
• Deep fluency in Databricks / Azure / AWS / GIT + working knowledge of the others.
• Extensive knowledge of data engineering principles, particularly in architecting and optimizing ETL workflows.
• Strong knowledge in MS Fabric / Power BI / Tableau.
• Knowledge in using and developing in applicable toolsets.
• Data prep for LLMs, Agent Orchestration, and Automation & Event‑Driven Workflows.
• Ability to interface competently with other technical personnel or team members to finalize requirements.
• Ability to work well with internal and external technology resources.
• Knowledge of test‑driven development.
• Ability to write and review portions of detailed specifications for the development of complex system components.
• Understanding of automation/other tools to increase efficiency.
• Strong problem solving and research skills.
• Ability to troubleshoot and resolve process inefficiencies (e.g., bugs) in the repository.
• Strong attention to detail.
• Strong oral and written communications skills.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

Working for you

• Flexible working arrangements
• Benefits for you and your family
• Access to learning and development resources

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision‑making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

Benefits

We know your well‑being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Flexible working arrangements
• Benefits for you and your family
• Access to learning and development resources

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

EEO Know Your Rights.

Please read our Candidate Privacy Policy.