More jobs:
Sr. Data Engineer
Job in
1000, Amsterdam, North Holland, Netherlands
Listed on 2026-01-25
Listing for:
Technopride Ltd
Part Time
position Listed on 2026-01-25
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager
Job Description & How to Apply Below
Overview
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 OverviewWe are seeking an experienced Senior Data Engineer to design, build, and maintain scalable, high-performance data pipelines that support advanced analytics and machine learning use cases. The role involves close collaboration with cross-functional teams to ensure data availability, quality, and reliability across cloud and data platforms.
Responsibilities- Design, develop, and maintain scalable and resilient data pipelines for batch and streaming data processing.
- Build and optimize data ingestion and transformation processes using modern data engineering tools and frameworks.
- Develop and maintain RESTful web services and APIs to support data integration and access.
- Work with streaming platforms to process real-time data efficiently.
- Ensure data quality, reliability, and governance across multiple data sources and platforms.
- Collaborate with analytics, data science, and engineering teams to support data-driven initiatives.
- Troubleshoot and resolve performance, scalability, and data consistency issues.
- Contribute to best practices in data engineering, coding standards, and system architecture.
- 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 working with Kafka or similar streaming platforms.
- Solid understanding of data engineering principles, including batch and real-time processing.
- Strong SQL skills for data analysis and validation.
- Experience working with cloud platforms such as AWS or Azure.
- Experience with Snowflake or other modern cloud data warehouses.
- Proficiency in Python for data processing and automation.
- Experience designing data solutions.
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