Cloud Data Engineer: Scalable Pipelines & Analytics

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

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.