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Data Scientist – Snowflake & Database Administration (ID 4136)

STAFIDE

Job Location:

Amsterdam - Netherlands

Salary: Not provided by the employer

Experience Required: 6-8years

Posted: 5 November 2026 (3 hours ago)

Application Deadline: 2 February 2027

Vacancies: 1 Vacancy

Job Summary

As a Senior Data Scientist you will

Design develop and manage scalable data analytics and data warehousing platforms.
Administer configure monitor and optimize Snowflake environments and associated databases.
Develop and execute data migration strategies from legacy systems to modern data platforms.
Design implement and monitor ETL/ELT pipelines to ensure efficient data processing.
Manage and optimize Oracle databases ensuring performance availability and reliability.
Perform PostgreSQL database administration monitoring and performance tuning.
Implement data quality data integrity and data security standards.
Collaborate with cross-functional teams to deliver reliable and scalable data solutions.

What You Bring to the Table

68 years of overall IT experience.
Strong hands-on experience in Snowflake architecture administration and optimization.
Mandatory experience in Oracle Database Administration (Oracle DBA).
Good knowledge of PostgreSQL administration and database management.
Strong understanding of data warehousing concepts and data modelling.
Expertise in ETL/ELT processes data migration and data quality management.
Good knowledge of SQL and Python.
Familiarity with Microsoft Azure services and cloud networking.

You should possess the ability to

Design and maintain scalable Snowflake data warehouse solutions.
Perform Oracle database administration troubleshooting and performance optimization.
Manage PostgreSQL databases and resolve database-related issues.
Develop and optimize ETL/ELT workflows for efficient data integration.
Plan and execute complex data migration activities from legacy systems.
Monitor data pipelines and ensure data accuracy consistency and security.
Work effectively with technical and business stakeholders.
Identify performance bottlenecks and implement appropriate solutions.

What We Bring to the Table

An opportunity to work on enterprise-level data engineering and analytics platforms.
Exposure to modern cloud-based data warehousing technologies.
Opportunities to work with Snowflake Oracle PostgreSQL and Azure technologies.
A collaborative and technically challenging working environment.

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Giftson Paul Davidson

Phone:; Extn : 151

E-mail:

LinkedIn: Skills:

As a Senior Data Scientist you will Design develop and manage scalable data analytics and data warehousing platforms. Administer configure monitor and optimize Snowflake environments and associated databases. Develop and execute data migration strategies from legacy systems to modern data platforms. Design implement and monitor ETL/ELT pipelines to ensure efficient data processing. Manage and optimize Oracle databases ensuring performance availability and reliability. Perform PostgreSQL database administration monitoring and performance tuning. Implement data quality data integrity and data security standards. Collaborate with cross-functional teams to deliver reliable and scalable data solutions. What You Bring to the Table 68 years of overall IT experience. Strong hands-on experience in Snowflake architecture administration and optimization. Mandatory experience in Oracle Database Administration (Oracle DBA). Good knowledge of PostgreSQL administration and database management. Strong understanding of data warehousing concepts and data modelling. Expertise in ETL/ELT processes data migration and data quality management. Good knowledge of SQL and Python. Familiarity with Microsoft Azure services and cloud networking. You should possess the ability to Design and maintain scalable Snowflake data warehouse solutions. Perform Oracle database administration troubleshooting and performance optimization. Manage PostgreSQL databases and resolve database-related issues. Develop and optimize ETL/ELT workflows for efficient data integration. Plan and execute complex data migration activities from legacy systems. Monitor data pipelines and ensure data accuracy consistency and security. Work effectively with technical and business stakeholders. Identify performance bottlenecks and implement appropriate solutions. What We Bring to the Table An opportunity to work on enterprise-level data engineering and analytics platforms. Exposure to modern cloud-based data warehousing technologies. Opportunities to work with Snowflake Oracle PostgreSQL and Azure technologies. A collaborative and technically challenging working environment. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Giftson Paul Davidson Phone:; Extn : 151 E-mail: LinkedIn:

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