Senior Data Engineer APAC

LexisNexis; Selangor; On-site; MYR 90,000 - 130,000; Full time

Job summary

A global leader in legal analytics is seeking a Senior Data Engineer in Selangor, Malaysia. This role involves designing and optimizing scalable data pipelines and Lakehouse architectures for advanced analytics. The ideal candidate has over 5 years of data management experience and a Master’s Degree in a related field. The role includes mentoring junior engineers and streamlining data processes through automation. The company promotes work/life balance and offers flexible working arrangements.

Benefits

Flexible working arrangements

Benefits for you and your family

Access to learning and development resources

Qualifications

• 5+ years in data management area with technical competency required.
• Master’s Degree preferred but equivalent experience is required.

Responsibilities

• Perform daily data loads ensuring updates are logged.
• Produce efficient and defect-free code.
• Complete complex data engineering bug fixes.
• Train entry-level data engineers as directed.

Skills

Data manipulation

ETL workflows

Data modeling

Python

SQL

Apache Spark

Azure

MS Fabric

Power BI

Tableau

Education

Master's Degree in Computer Science/Engineering

Tools

Databricks

Linux

GIT

Job description

Senior Data Engineer

Do you have exceptional data capabilities?

Would you like to join a Global leader in Legal Analytics and Technology?

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, where we are 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, including 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. This position performs data engineering design typically across multiple systems; mentors more junior members of the team; and talks to users and customers and translates their requests into solutions.

As a Senior Data Engineer II, you will play a critical role in designing, building, and optimizing 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.
• Solid project management skills.
• Understanding of automation/other tools to increase efficiency.
• Strong problem solving and research skills.
• Ability to troubleshoot and resolve process inefficiencies (i.e. 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.

Benefits

We know that your wellbeing 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

Your recruiter will advise you on the full benefits package for your location

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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.