Senior Data Analytics Engineer

Infinity Quest Limited; Amsterdam; On-site; EUR 78,000 - 110,000; Full time

Job summary

Infinity Quest Limited is seeking a data engineer to design, develop, and maintain scalable data pipelines and ETL processes in a cloud environment. The role involves working with complex datasets to identify trends, optimize data warehouses, and collaborate with stakeholders to deliver robust data solutions that empower data-driven decisions.

You'll implement data quality checks, follow CI/CD practices, and contribute to analytics and visualization platforms, using SQL, Python, Snowflake and

Qualifications

• Advanced SQL
• dbt / Data Build Tool
• Python
• Snowflake
• AWS
• Data Warehousing & Data Modelling
• Data Quality
• System Design
• Snowflake Semantic Views
• CI/CD

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Analyze complex datasets to identify trends and insights for business decisions.
• Design and optimize databases and data warehouses for performance and scalability.
• Collaborate with stakeholders to translate requirements into data solutions.
• Implement data quality checks, validation, monitoring and governance.
• Work with SQL, Python, Snowflake, dbt, and cloud technologies.
• Support data architecture and system design initiatives.
• Contribute to analytics and visualization for data-driven decisions.
• Follow engineering best practices including version control and CI/CD.

Skills

Advanced SQL

Python

Data Modeling

Data Warehousing

Data Quality

System Design

CI/CD

Snowflake Semantic Views

Snowflake Architecture

Data Architecture

Tools

dbt / Data Build Tool

Snowflake

AWS

Job description

• 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
• Snowflake Semantic Views
• CI/CD

Key Skills

Advanced SQL, dbt, Python, Snowflake, Data Architecture/System Design, Data Quality, Data Warehousing Concepts, and Data Modeling.