Data Engineer

Postaladdress
Amsterdam, Netherlands
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Amsterdam, Netherlands

Tech stack

Agile Methodologies
Big Data
Continuous Integration
Data Architecture
Information Engineering
Data Infrastructure
Data Integration
ETL
Data Systems
Python
Microsoft SQL Server
Performance Tuning
Power BI
Software Tools
SQL Server Reporting Services
SQL Server Integration Services
Cloud Platform System
Azure
Sql Optimization
Spark
Data Pipelines
Databricks

Job description

We are looking for an experienced Data Engineer to join our team in Amsterdam. The ideal candidate will have strong expertise in modern data engineering tools and cloud-based data platforms, with a focus on building scalable, high-performance data solutions. Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes
  • Work with large datasets using modern data engineering frameworks and tools
  • Build and optimize data workflows using Databricks, dbt, and Apache Spark
  • Develop and maintain data solutions using Python and SQL Server
  • Implement and manage data integration processes using Azure Data Factory
  • Collaborate with data architects and stakeholders to define data models and architecture
  • Create and maintain dashboards and reports using Power BI
  • Ensure data quality, governance, and performance optimization
  • Support CI/CD processes and deployment of data solutions

Requirements

  • Strong experience with Databricks, dbt, Apache Spark, and Python
  • Hands-on experience with Azure Data Factory
  • Solid knowledge of SQL Server and advanced SQL
  • Experience with Power BI for reporting and visualization
  • Strong understanding of data architecture and data modeling

Preferred Skills

  • Experience with SSIS and SSRS
  • Exposure to enterprise-scale data environments
  • Familiarity with Agile methodologies

Competencies

  • Azure Data Engineering expertise
  • Data Architecture & Modeling
  • Problem-solving and analytical thinking
  • Strong communication and collaboration skills

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