Data Analytics Engineer

An exciting opportunity has arisen for a Data Analytics Engineer, where your expertise will play a pivotal role in shaping the future of data-driven decision making. You will be instrumental in designing and maintaining robust data warehouses, developing insightful reporting solutions, and ensuring seamless access to critical business information.

What you'll do:

As a Data Analytics Engineer, your day-to-day activities will involve designing robust architectures for consolidating diverse datasets into unified warehouses that simplify access for all users. You will develop sophisticated dashboards using Power BI and SSRS that transform complex information into meaningful visualisations. By proactively engaging with stakeholders across departments, you will ensure their technical challenges are addressed promptly while supporting their ongoing infrastructure needs.

• Collaborate closely with Business Analysts to gather requirements, design tailored solutions, and implement these using leading automation tools for optimal business impact.
• Design, establish, and maintain a comprehensive data warehouse that consolidates raw data from multiple sources into a single accessible database for streamlined extraction and analysis.
• Develop, enhance, and maintain reporting solutions using SSRS and Power BI, harmonising existing reports with dashboarding and analytics capabilities for improved decision-making.
• Work directly with stakeholders to resolve technical issues related to data infrastructure and provide ongoing support for their evolving needs.
• Continuously optimise database performance by refining processes, conducting regular housekeeping tasks such as backups and restores, and troubleshooting internal or external data processes.
• Manage secure data access and delivery in accordance with established data security policies while integrating best practices in governance, metadata management, and data quality.
• Assist in re-engineering and managing data pipeline architecture including data lakes and warehouses as required by changing business demands.

What you bring:

To excel as a Data Analytics Engineer in this environment, your background should reflect hands-on involvement with modern data technologies—particularly those related to warehousing, reporting tools like Power BI or SSRS, SQL scripting for complex query design, as well as Python-based analytics within frameworks such as Databricks. Your academic foundation may stem from computer science or related disciplines; however, demonstrable professional experience can substitute formal qualifications where appropriate. You bring an analytical mindset complemented by strong interpersonal skills that allow you to communicate clearly with both technical peers and non-technical stakeholders alike.

• A minimum of 2-3 years’ experience working with data technologies such as reporting tools, ETL processes or data warehousing environments is essential for success in this role.
• Demonstrated proficiency in SQL scripting with the ability to design complex queries that deliver high performance across large datasets is required.
• Hands-on experience developing reports or dashboards using Power BI or SSRS is necessary to meet stakeholder expectations for insightful analytics.
• Practical knowledge of Python programming combined with familiarity in Apache Spark (especially within Databricks) is vital for advanced analytics tasks including ETL pipeline development.
• Exposure to cloud computing platforms such as AWS would be advantageous but not mandatory for this position.
• Excellent communication skills are needed to manage stakeholder relationships effectively while preparing clear documentation at various stages of IT operations.
• Strong analytical abilities paired with acute attention to detail enable you to identify trends quickly while maintaining accuracy under pressure.
• A proven track record as a dependable team player who supports colleagues generously while contributing positively towards shared goals is highly valued here.
• The ability to manage time efficiently by prioritising competing demands ensures consistent delivery even when working under tight deadlines.

What sets this company apart:

This organisation stands out due to its unwavering commitment to nurturing talent within an inclusive environment where collaboration is at the core of every initiative. Knowledge sharing is actively encouraged through structured programmes aimed at disseminating best practices across departments—ensuring everyone remains informed about industry developments.

What's next:

If you are ready to take your career forward by joining a collaborative team dedicated to excellence in data analytics engineering, now is the perfect time to apply!

Apply today by clicking on the link provided—your next rewarding challenge awaits!

Do note that we will only be in touch if your application is shortlisted.

Agensi Pekerjaan Robert Walters Sdn Bhd
Business Registration Number : 729828-T
Licence Number : JTKSM 423C