Cloud Data Engineer
Summary
On-site Cloud Data Engineer in OSRAM's internal IT Data Analytics team, building and optimizing cloud data warehouse pipelines for data scientists and analysts. Core stack includes Snowflake/Databricks, SQL, Python, dbt, Airflow, Azure Data Factory, NiFi, and Power BI.
The ams OSRAM Group is a global leader in innovative light and sensor solutions. As a specialist in Digital Photonics, we combine technological excellence with state-of-the-art global manufacturing capabilities to offer our customers the broadest portfolio of digital emitter and sensor technologies.
Globally, our teams develop groundbreaking solutions aligned with societal megatrends like intelligent mobility, artificial intelligence, augmented reality, smart health, and robotics.
At ams OSRAM, employees are part of a highly innovative, international technology environment. Diverse teams, a high degree of ownership, and exciting challenges provide the opportunity to grow, develop, and make a real difference. Because behind our innovations are people who carry something special inside and who bring their unique strengths to work every day.
Show the world what you are made of.
Your new responsibilities
- 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.
What we look for
- 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.
ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.
Job ID: 24269
Posting Start Date: 9/17/26
Job Family: Information Technology
Career Level: Professional (> 3 years)
Company: OSRAM
OS Penang
Schedules: Full Time
Work Model: On-Site
Job Shift: Flex time
Regular/Temporary: Regular
Department: IT Data Analytics