Senior Cloud Data Engineer: Data Warehouse & Pipelines

Ams Osram; Lisboa; Híbrido; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Ams Osram is seeking a senior data engineering professional to support central functions by designing and maintaining cloud data warehouse solutions. You will collaborate with data scientists, analysts and stakeholders to translate requirements into scalable data models and pipelines.

The role requires hands-on experience with Snowflake/Databricks, data vault 2.0 or star schema, and strong SQL/Python skills, with PowerBI for visualization. Fluent English is essential for global collaboration.

Qualificações

• Bachelor's degree or higher in Computer Science, Software Engineering or similar.
• 5+ years experience with cloud data warehouses (Snowflake/Databricks).
• Strong SQL and ETL framework knowledge.
• Data staging with SQL and Python; BI with PowerBI; data integration tools.
• Data modeling with Data Vault 2.0 or Star Schema.
• Excellent communication and organizational skills; fluent English.

Responsabilidades

• Collaborate with data scientists and stakeholders to translate data needs into technical specs.
• Design and implement cloud-based data solutions that align with business needs.
• Develop scalable data pipelines and ensure data quality.
• Optimize data transfer processes for cost and performance.
• Document best practices and monitor data warehouse performance.
• Communicate issues and solutions with stakeholders.

Conhecimentos

SQL

Python

PowerBI

dbt

Apache Airflow

Snowflake

Databricks

Data Vault 2.0

Star Schema

Data Modeling

Formação académica

Bachelor's degree or higher in Computer Science or related field

5+ years cloud data warehouse experience

Ferramentas

Azure Data Factory

Apache NiFi

Theobald Universal Xtract

Descrição da oferta de emprego

Ams Osram is seeking a senior data engineering professional to support central functions by designing and maintaining cloud data warehouse solutions. You will collaborate with data scientists, analysts and stakeholders to translate requirements into scalable data models and pipelines.

The role requires hands-on experience with Snowflake/Databricks, data vault 2.0 or star schema, and strong SQL/Python skills, with PowerBI for visualization. Fluent English is essential for global collaboration.