Senior Data Engineer

Confidential Jobs; Kuala Lumpur; On-site; MYR 201,000 - 357,000; Full time

Job summary

Confidential Jobs in Malaysia seeks a Senior Data Engineer to lead the data engineering team, shaping scalable, governed data foundations and pipelines for business reporting and analytics.

The role requires strong leadership, 8+ years in data engineering/analytics, and experience with modern data tools such as Databricks. You will mentor juniors and work with stakeholders across functions to deliver data-driven solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Proven leadership and practical data engineering experience with 8+ years in data engineering/analytics.
• Strong problem-solving and analytical abilities to tackle complex business challenges.
• Familiarity with modern data engineering and data visualization technologies.
• Experience with Databricks integration is a strong plus.
• Excellent communication and collaboration with cross-functional teams.

Responsibilities

• Collaborate with stakeholders and cross-functional teams to translate business requirements into technical designs and efficient data pipelines.
• Provide architectural guidance and design a modern data stack supporting governance, scalability, and reporting needs.
• Design and maintain scalable data foundations and pipelines across on-premise and cloud environments.
• Build data lakes and warehouses to support management reporting and analytics environments.
• Coordinate with cloud infrastructure teams to provision required data infrastructure.
• Lead and mentor junior team members for professional growth.

Skills

Leadership experience

Stakeholder communication

Databricks experience

Problem solving

Education

Bachelor's or Master's degree in CS/Data Science/Statistics

Tools

Databricks

Job description

As the Senior Data Engineer, you will play a pivotal role in leading our data engineering team and driving the design, development, and maintenance of scalable, governed data foundations and pipelines. You will work closely with stakeholders, project managers, and cross-functional teams to understand business requirements, translate them into clear technical requirements, and ensure data solutions align with organizational goals and enable data-driven decision-making.

Key Responsibilities

• Collaborate with stakeholders, project managers, and cross-functional teams to understand business requirements and translate them into clear technical requirements, solution designs, and efficient data pipelines.
• Provide technical design and architecture guidance, and design an appropriate modern data stack that supports the organization’s data maturity, data foundation, governance, scalability, and business reporting needs.
• Design and implement robust, scalable, and cost-optimized data foundations and pipelines across on-premise and cloud infrastructure to collect, process, govern, and store data from various sources.
• Build business-relevant data lakes and data warehouses to support management reporting for business end-users and analytics or data science environments for technical end-users.
• Work with cloud infrastructure team who will provision necessary data related infrastructure.
• Lead and mentor junior technical members of the team, enabling professional growth and learning.

Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience as a technical leader and practitioner, building and scaling data infrastructure in data engineering and/or data analytics roles and at least 8 years in the industry.
• Excellent problem-solving and analytical skills, with the ability to approach complex business problems in a structured and logical manner.
• Strong familiarity and expertise with the modern data engineering and data visualization technologies.
• Experience with Databricks and its integration with data engineering tasks is a strong plus.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.
• Proven ability to lead and mentor a team, fostering a collaborative and innovative work environment.