Senior Data Engineer

Averis Sdn Bhd; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A leading data solutions provider in Kuala Lumpur is seeking a Senior Data Engineer to lead their data engineering team. This role involves the design, development, and maintenance of scalable data architectures, ensuring data solutions align with organizational goals. Candidates should have strong technical leadership, extensive experience in data infrastructure, and skills in SQL, Hive, and data visualization tools. The position offers medical benefits and opportunities for professional development.

Benefits

Medical benefits

Dental benefits

Optical benefits

Learning and development programmes

Reward and recognition awards

Qualifications

• 6-8 years of experience in software industry, particularly in data engineering or analytics.
• Proven technical leadership experience in data infrastructure.
• Strong problem-solving and analytical skills.

Responsibilities

• Guide data engineering team in designing and maintaining data architectures.
• Lead and mentor junior team members.
• Implement data pipelines across cloud and on-premise infrastructure.

Skills

SQL

Hive

Airflow

dbt

Spark

pandas

numpy

scikit-learn

Tableau

Qlik

Looker

Apache Superset

Education

Bachelor's or Master's degree in Computer Science

Job description

Key Responsibilities

As the Senior in Data Engineering, you will play a pivotal role in guiding our data engineering team, driving the design, development, and maintenance of scalable data architectures. You will collaborate with cross-functional teams to ensure that data solutions align with organizational goals, enabling data-driven decision-making.

Draw on your past expertise to provide technical design and architecture and design the appropriate modern data stack for our level of data maturity.

Lead and mentor technical junior members of the team, enabling professional growth and learning.

Design and implement robust, scalable and cost-optimized data pipelines across on premise and cloud infrastructure to collect, process, and store data from various sources.

Develop and maintain data pipelines and ETL processes to ensure the availability and integrity of data for analysis and modeling.

Build business relevant data lake and data warehouses to support a combination of management reporting for business end‑users and data science development environment for data scientist end‑users.

Build appropriate data governance processes and safeguards including access control and appropriate anonymization and masking.

Work with cloud infrastructure team who will provision necessary data related infrastructure.

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 6-8 years of experience in the software 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 (eg. SQL, Hive, Airflow, dbt, Spark), data science (e.g., pandas, numpy, scikit-learn) and data visualization technologies (Tableau, Qlik, Looker or Apache Superset).

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.

Application Questions

• Which of the following statements best describes your right to work in Malaysia?
• What's your expected monthly basic salary?
• Which of the following types of qualifications do you have?
• How many years' experience do you have as a Data Engineer?
• How many years' experience do you have using SQL queries?
• Which of the following data analytics tools are you experienced with?
• Which of the following programming languages are you experienced in?

Benefits

Medical, dental, and optical benefits. Cross-functional training. Overseas postings and short-term secondments. Learning and development programmes. Reward and recognition awards. Exciting recreational & employee engagement opportunities for job rotations. Professional membership subscriptions fees.