Join us in being a Pos Malaysia Wira! At Pos Malaysia, we are passionate about building trust to connect lives and businesses for a better tomorrow. As we transform this incredible 200 year old business we are looking for highly motivated, engaged, passionate and driven individuals to join our team - someone who is up for the transformation challenge and excited by the significant opportunity it represents. Join us as a Lead Data Engineer and lead the charge in building our next-generation data platform. You&aposll be responsible for creating a modern, scalable data warehouse on AWS that will be the foundation for all our analytics, reporting, and AI projects. This is a key role for a hands-on technical expert who can also lead and mentor a team to deliver high-quality data solutions. Job Description: Own It: Take end-to-end ownership of our cloud data architecture-designing, developing, and implementing a robust data warehouse using AWS services such as S3, Glue, Redshift, Lambda, Step Functions, and Athena. Lead the evolution of our data infrastructure with a long-term vision, ensuring scalability, reliability, and performance. Define and enforce high standards across data engineering-driving excellence in source control, automation, testing, and deployment. Build Trust: Ensure data integrity, governance, and security are embedded throughout the pipeline, delivering datasets stakeholders can depend on. Promote engineering best practices through clean, well-documented code, peer reviews, and strong CI/CD workflows. Act as a trusted technical mentor, growing the skillset of your team and raising the bar on data engineering quality. Move Fast: Design and maintain high-performance ETL/ELT pipelines to rapidly transform raw data into ready-to-use, structured datasets. Continuously optimize data models (e.g., star schema) for analytics and reporting, accelerating decision-making across the business. Embrace agility-identify inefficiencies, ship improvements quickly, and iterate with speed and precision. One Team: Partner closely with analytics, business, and IT teams to understand needs and co-create scalable, user-friendly data solutions. Break down silos and foster a collaborative, cross-functional approach to solving complex data challenges. Lead with empathy and clarity-creating an inclusive team culture where knowledge is shared and everyone is set up to succeed. Drive Innovation: Continuously explore and implement cutting-edge tools, frameworks, and architectures to push the boundaries of what our data platform can achieve. Champion a culture of experimentation-encouraging your team to test bold ideas, prototype new solutions, and learn from failure. Evaluate new trends in AI, ML, and real-time analytics, bringing forward-thinking solutions to meet future business demands. Delight Customers: Build data systems that empower internal stakeholders to self-serve insights and deliver exceptional customer experiences. Stay ahead of the curve on emerging AWS technologies, recommending innovations that help us better serve our customers and scale smarter. Translate complex data into actionable solutions that directly impact product, strategy, and customer satisfaction. Job Requirements: Minimum 7 years of experience in data engineering, with at least 3 years working in cloud-based environments (preferably AWS). Strong hands-on experience with AWS S3, Glue, Redshift, Lambda, Step Functions, and other core AWS services. Proficient in SQL and Python for data transformation and automation. Experience in building and managing data models and data pipelines for large-scale data environments. Solid understanding of data warehousing principles, data lakes, and modern data architecture. Experience leading and mentoring data engineering teams. Strong communication and collaboration skills to work with cross-functional teams. Preferred: Experience with Snowflake, or Databricks is a plus. Exposure to DevOps practices such as CI/CD. Familiarity with data governance and security frameworks in AWS This is a super exciting time to be joining Pos Malaysia. Your contributions will help us to write the next chapter in our history. Show more Show less