Senior Data Engineer (ID3414)

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

As a Senior Data Engineer you will:

Design develop and maintain scalable and reliable data pipelines to support analytics reporting and business decision-making.
Extract analyze and manage existing Snowflake roles grants privileges and related metadata.
Design and implement a configuration-driven management framework using version-controlled files stored in Git.
Ensure data security integrity and compliance during Snowflake role migration with an initial focus on data roles automation.
Build optimize and support ETL/ELT pipelines for structured and semi-structured data from multiple sources.
Monitor troubleshoot and enhance production data pipelines for performance reliability and scalability.
Implement and maintain Data Vault data models in Snowflake to support large-scale analytics and BI use cases.
Write optimize and maintain high-performing SQL queries for data transformation and reporting.
Collaborate closely with data architects product managers analysts and data scientists to deliver impactful data solutions.
Engage with business stakeholders to translate requirements into scalable technical solutions.
Work with cloud platforms (AWS/Azure) DBT and Snowflake to deliver cloud-native data solutions.

What You Bring to the Table:

68 years of hands-on experience in data engineering roles.
Advanced proficiency in Python for automation and data engineering workflows.
Strong command of SQL for complex transformations and performance optimization.
Experience with DBT for data transformation and modeling.
Solid understanding of ETL/ELT architectures and pipeline orchestration.
Hands-on experience with cloud platforms (AWS and/or Azure).
Experience implementing Data Vault modeling in Snowflake.
Familiarity with Docker and modern data engineering tooling.
Exposure to PySpark and large-scale data processing frameworks.

You Should Possess the Ability to:

Design scalable secure and maintainable data architectures.
Automate infrastructure and data workflows using Python and SQL.
Translate business and analytical requirements into technical data solutions.
Troubleshoot complex production issues across data platforms.

What We Bring to the Table:

Opportunity to work on cutting-edge data engineering solutions using modern cloud and analytics technologies.
Exposure to large-scale retail data platforms supporting business-critical analytics.
A collaborative innovative environment that values technical excellence and continuous improvement.
Opportunities for professional growth skill enhancement and technical leadership.

Lets Connect

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

Recruiter: Vincee Venkatraman

Phone:; Extn :141

Email:

LinkedIn: Skills:

As a Senior Data Engineer you will: Design develop and maintain scalable and reliable data pipelines to support analytics reporting and business decision-making. Extract analyze and manage existing Snowflake RBAC roles grants privileges and related metadata. Design and implement a configuration-driven RBAC management framework using version-controlled files stored in Git. Ensure data security integrity and compliance during Snowflake RBAC role migration with an initial focus on data roles automation. Build optimize and support ETL/ELT pipelines for structured and semi-structured data from multiple sources. Monitor troubleshoot and enhance production data pipelines for performance reliability and scalability. Implement and maintain Data Vault data models in Snowflake to support large-scale analytics and BI use cases. Write optimize and maintain high-performing SQL queries for data transformation and reporting. Collaborate closely with data architects product managers analysts and data scientists to deliver impactful data solutions. Engage with business stakeholders to translate requirements into scalable technical solutions. Work with cloud platforms (AWS/Azure) DBT and Snowflake to deliver cloud-native data solutions. What You Bring to the Table: 68 years of hands-on experience in data engineering roles. Strong expertise in Snowflake administration including RBAC roles grants and privileges. Advanced proficiency in Python for automation and data engineering workflows. Strong command of SQL for complex transformations and performance optimization. Experience with DBT for data transformation and modeling. Solid understanding of ETL/ELT architectures and pipeline orchestration. Hands-on experience with cloud platforms (AWS and/or Azure). Experience implementing Data Vault modeling in Snowflake. Familiarity with Docker and modern data engineering tooling. Exposure to PySpark and large-scale data processing frameworks. You Should Possess the Ability to: Design scalable secure and maintainable data architectures. Automate infrastructure and data workflows using Python and SQL. Translate business and analytical requirements into technical data solutions. Troubleshoot complex production issues across data platforms. What We Bring to the Table: Opportunity to work on cutting-edge data engineering solutions using modern cloud and analytics technologies. Exposure to large-scale retail data platforms supporting business-critical analytics. A collaborative innovative environment that values technical excellence and continuous improvement. Opportunities for professional growth skill enhancement and technical leadership. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Vincee Venkatraman Phone:; Extn :141 Email: LinkedIn: