Sr. Data Engineer
Summary
Senior Data Engineer builds and maintains scalable data pipelines, real-time streaming systems (Kafka), and REST APIs using Java, Spark, and cloud platforms to support analytics and ML workloads.
Hi,
We are looking for Sr. Data Engineer for one of our renowned IT client based in Amsterdam, Netherlands. If interested, please share your updated CV to discuss further on the role. Permanent and hybrid.
Email: [email protected]
Role: Sr. Data Engineer
Location: Amsterdam, Netherlands
Is it Permanent / Contract: Contract
Is it Onsite/Remote/Hybrid: Hybrid – 2 days a week to office.
Start Date: Immediate
No. of Positions: 1
Role Overview
We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable and high-performance data pipelines that support analytics and machine learning initiatives. The role involves close collaboration with cross-functional teams to ensure data availability, quality, and reliability across modern cloud and data platforms.
Key Responsibilities
Design, develop, and maintain scalable data pipelines for batch and real-time processing.
Build and optimize data ingestion, transformation, and processing workflows using 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.
Required Skills & Experience
8+ years of experience in data engineering or related roles.
Strong programming experience in Java and Apache Spark.
Hands-on experience with RESTful Web Services and API development.
Experience with Kafka or other streaming and messaging platforms.
Solid understanding of data engineering principles, including ETL/ELT and real-time processing.
Strong SQL skills for data validation, transformation, and analysis.
Experience working with cloud platforms such as AWS or Azure.
Preferred Skills
Experience with Snowflake or other modern cloud data warehouses.
Proficiency in Python