Staff Cloud Data Engineer

Ams Osram; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

Ams Osram is hiring a Senior Data Engineer to collaborate with data scientists and analysts to build scalable cloud data solutions in Kuala Lumpur. You will design models, implement pipelines and ensure data security while aligning with business needs.

The role requires 5+ years in cloud data warehousing, strong SQL/Python, and experience with Snowflake, Databricks and ETL tools. Expect cross‑functional collaboration and international team exposure.

Qualifications

• Bachelor's degree or higher in Computer Science, Software Engineering or similar.
• Minimum 5 years' experience with cloud data warehouse technologies (Snowflake/Databricks preferred).
• Strong data modelling experience (Data Vault 2.0 or Star Schema).
• Proficient in SQL and Python for data processing and transformations.
• Experience with data visualization (PowerBI) and ETL tooling.

Responsibilities

• Collaborate with data scientists, analysts and stakeholders to translate data needs into specs and models.
• Design and implement cloud-based data solutions aligned with business goals.
• Develop scalable data pipelines from multiple source systems and monitor performance.
• Apply business rules and transformations using SQL or Python.
• Ensure data security with object and row-level controls.
• Document best practices and promote knowledge sharing across teams.

Skills

Cloud data modelling

Data governance

SQL

Python

ETL pipelines

Data visualization

Communication

Education

Bachelor's degree in Computer Science or related

Tools

Snowflake

Databricks

dbt

Apache Airflow

Azure Data Factory

NiFi

Theobald Universal Xtract

PowerBI

Job description

Central Functions support the board as well as the business in achieving its strategic objectives. These are, for example, Information Technology, Human Resources, Logistics, Compliance, Finance and many more.

• Work closely with data scientists, business analysts and other stakeholders to understand their data requirements and translate them into technical specifications and data models.
• Collaborate with data architects to design and implement cloud-based data solutions that align with business needs.
• Facilitate internal knowledge sharing to ensure team members are informed about the latest best practices.
• Implement scalable and robust data pipelines from various source systems.
• Apply business rules and transformations using SQL or Python.
• Secure data models applying object and row level security.
• Develop and document best practices and ensure they are effectively implemented across the team.
• Analyze and address issues related to data integrity, data design and both functional and technical aspects of the Cloud Data Warehouse.
• Perform cost and performance-based optimization of data transfer processes.
• Continuously monitor and improve the efficiency and performance of data pipelines.

• Bachelor’s degree and above in Computer Science, Software Engineering or similar.
• Minimum 5 years of related working experience with cloud data warehouse technologies, preferably Snowflake and/or Databricks.
• Hands-on experience in data warehouse modelling preferably with data vault 2.0 and/or star schema.
• Good understanding of agile methodologies like SCRUM.
• Problem-solving attitude and excellent communication skills.
• In-depth understanding of relational databases (SQL) and ETL (Extract, transform, load) frameworks. Experienced in data staging with SQL and Python, data visualization with tools such as PowerBI, data integration using Apache NiFi, Theobald Universal Xtract, and Azure Data Factory, as well as orchestrating data pipelines with dbt and Apache Airflow.
• Excellent organizational skills with the ability to communicate project goals and objectives, project status and deliverables with senior executives. Participate with the management team in developing a vision and strategic plan to guide the organization.
• Experience working in international teams.
• Fluent in English for communicating with global teams and stakeholders.