Heinsohn Business Technology is seeking a highly skilled Cloud Data Engineer to join our team. In this role you will design optimize and implement scalable data solutions with a primary focus on Google Cloud Platform (GCP). The ideal candidate has solid experience in data ingestion cloudbased data warehouses and modern ETL/ELT tools. Advanced English proficiency (B2C1) is required to collaborate effectively with international teams and stakeholders.
Tasks
- Design implement and maintain data pipelines using tools such as Data Fusion and Informatica for efficient data ingestion.
- Develop and manage cloudbased data warehouses with a primary focus on GCP.
- Optimize cloud infrastructure and data processing workflows ensuring cost efficiency and high performance.
- Collaborate with crossfunctional teams to define data requirements and integrate data systems seamlessly.
- Monitor troubleshoot and enhance the reliability and scalability of data pipelines.
Requirements
- Minimum of 3 years of experience as a Data Engineer or in a similar role.
- Expertise in Google Cloud Platform (GCP) is mandatory.
- Proficiency in Data Fusion Informatica or similar tools for data ingestion and integration.
- Handson experience with cloudbased data warehousing and managing largescale data infrastructure.
- Familiarity with Azure or AWS is a plus but GCP expertise is required.
- Advanced English proficiency (B2C1) with excellent communication skills for global collaboration.
Preferred Qualifications:
- Familiarity with Fivetran for data ingestion and integration.
- Experience in optimizing cloudbased solutions for costeffectiveness and performance.
- Strong understanding of modern ETL/ELT workflows and tools.
Benefits
- Work on innovative highimpact projects.
- Grow professionally within a leading technology company.
- Collaborate with a global multidisciplinary team.
If you are passionate about cloud data engineering and have the required GCP expertise we encourage you to apply and be part of our innovative team at Heinsohn!