Sr. Data Engineer

Job in 1000, Amsterdam, North Holland, Netherlands

Listing for: Technopride Ltd

Part Time position
Listed on 2026-08-07

Job specializations:

IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Data Science Manager

Salary/Wage Range or Industry Benchmark: 90000 - 130000 EUR Yearly EUR 90000.00 130000.00 YEAR

Amsterdam, Netherlands | Posted on 22/01/2026

We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.

Job Description

Hi, We are looking for Sr. Data Engineer for one of our renowned IT client based in Amsterdam, Netherlands. Permanent and hybrid.

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 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.

Required Skills & Experience

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 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.

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