Key Skills

Job Description

Role Name:-Data Engineer Type:- FTE (1 Year) Location: Amsterdam, Netherlands (Hybrid) Job Description / Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL/data transformation processes. Work with complex datasets to identify trends and actionable business insights. Design and optimize databases and data warehouses for performance and scalability. Collaborate with business and technical stakeholders to understand requirements and deliver appropriate data solutions. Implement data quality checks, validation, monitoring, and data-management best practices. Work extensively with SQL, Python, Snowflake, dbt, and cloud technologies. Support data architecture and system-design initiatives. Contribute to analytics and visualization solutions supporting data-driven decision-making. Follow engineering best practices, including version control and CI/CD. Mandatory Skills: Advanced SQL dbt / Data Build Tool Python Snowflake AWS Data Warehousing & Data Modelling Data Quality System Design Desirable Skills: Snowflake Semantic Views CI/CD Data Pipelines Data Architecture Key Skills: Advanced SQL, dbt, Python, Snowflake, Data Architecture/System Design, Data Quality, Data Warehousing Concepts, and Data Modeling.

Core Responsibilities

Design, build, and maintain scalable data pipelines, ETL and transformation processes, databases, and data warehouses. Collaborate with stakeholders to deliver data solutions, ensure data quality, support data architecture and system design, and contribute to analytics and visualization.

Requirements

The role requires advanced SQL, dbt, Python, Snowflake, AWS, data warehousing and modeling, data quality, and system design. It also calls for engineering best practices such as version control and CI/CD; Snowflake Semantic Views, data pipelines, and data architecture are desirable.