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A leading provider of legal analytics in Kuala Lumpur seeks a Data Engineer with 5+ years in the data management field. You'll perform data loads, produce efficient code, and mentor junior engineers while working with modern technologies. The role promotes collaboration and requires proficiency in languages like Python and SQL. We offer flexible working arrangements and numerous benefits for you and your family.
Do you have exceptional data capabilities?
Would you like to join a Global leader in Legal Analytics and Technology?
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.
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.
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.
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.
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 (i.e. bugs) in the repository.
Strong attention to detail.
Strong oral and written communications skills.
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.
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
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.