Cloud Data Engineer - Snowflake/Databricks | Hybrid

OSRAM Opto Semiconductors (Malaysia) Sdn Bhd; Carnaxide; Híbrido; EUR 55 000 - 80 000; Tempo integral

Resumo da oferta

OSRAM Lda. is seeking an experienced data analytics professional to design and manage cloud data solutions and pipelines. You will work with data scientists, analysts, and stakeholders to translate requirements into scalable architectures and documented best practices.

The role requires 5+ years in cloud data warehouses, strong SQL/Python skills, and experience with BI and ETL tools. This hybrid position supports flexible work arrangements and cross‑functional collaboration.

Qualificações

• Bachelor’s degree in Computer Science, Software Engineering or similar.
• 5+ years in cloud data warehouse environments, Snowflake/Databricks preferred.
• Strong SQL and Python, data modeling with vault 2.0 or star schema.
• Experience with PowerBI and ETL tooling; data integration platforms listed above.
• Excellent communication and project coordination skills; fluent English.

Responsabilidades

• Collaborate with data scientists and analysts to capture data requirements.
• Design and implement cloud-based data solutions aligned with business needs.
• Develop scalable data pipelines from diverse source systems.
• Apply business rules using SQL or Python and ensure data security.
• Document best practices and share knowledge across the team.
• Monitor and optimize data transfer cost and performance.
• Ensure data integrity and address design and technical issues.
• Communicate status and outcomes to stakeholders.

Conhecimentos

Data modeling

Cloud data concepts

SQL

Python

Communication

Formação académica

Bachelor’s degree in Computer Science or similar

Ferramentas

Snowflake

Databricks

SQL

Python

PowerBI

Apache NiFi

Theobald Universal Xtract

Azure Data Factory

dbt

Apache Airflow

Descrição da oferta de emprego

OSRAM Lda. is seeking an experienced data analytics professional to design and manage cloud data solutions and pipelines. You will work with data scientists, analysts, and stakeholders to translate requirements into scalable architectures and documented best practices.

The role requires 5+ years in cloud data warehouses, strong SQL/Python skills, and experience with BI and ETL tools. This hybrid position supports flexible work arrangements and cross‑functional collaboration.