Senior Data Engineer: Real-Time Pipelines, Hybrid

Technopride Ltd; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Technopride Ltd in Amsterdam, Netherlands is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines supporting analytics and ML initiatives. The role involves collaboration with cross-functional teams to ensure data availability, quality, and reliability across modern cloud and data platforms.

In this role you will design batch and real-time pipelines, ingest and transform data, develop RESTful services for data integration, implement streaming with Kafka, and help

Qualifications

• 8+ years of experience in data engineering or related roles.
• Hands-on experience with RESTful Web Services and API development.
• Experience with Kafka or other streaming platforms.
• Strong SQL skills for data validation, transformation, and analysis.
• Experience with cloud platforms such as AWS or Azure.
• Preferred experience with Snowflake or other cloud data warehouses.

Responsibilities

• Design, develop, and maintain scalable data pipelines for batch and real-time processing.
• Build and optimize data ingestion, transformation, and processing workflows utilizing modern data engineering frameworks.
• Develop and maintain RESTful web services and APIs for data integration and consumption.
• Implement and manage streaming data solutions using platforms such as Kafka.
• Ensure data quality, consistency, reliability, and performance across multiple data systems.
• Collaborate with analytics, data science, and engineering teams to support data-driven use cases.
• Troubleshoot and resolve data pipeline, performance, and scalability issues.
• Contribute to architecture decisions, coding standards, and data engineering best practices.

Skills

RESTful APIs

Kafka

SQL

ETL/ELT

Cloud (AWS/Azure)

Snowflake

Job description

Technopride Ltd in Amsterdam, Netherlands is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines supporting analytics and ML initiatives. The role involves collaboration with cross-functional teams to ensure data availability, quality, and reliability across modern cloud and data platforms.

In this role you will design batch and real-time pipelines, ingest and transform data, develop RESTful services for data integration, implement streaming with Kafka, and help