Data Engineer

🚀 Data Engineer Vacancy

📍 Location: Eindhoven, The Netherlands (2 days at the office, 3 days from home)

❌ Note: Visa or relocation support is not provided

✅ Permanent Employment

✅Only Accepting Candidates in the Netherlands

Are you skilled in writing code to ingest data? Do you enjoy data wrangling, diving into data sources, and transforming data into a readable and usable state? Do you thrive on the satisfaction of seeing data flow seamlessly into a data lake, day in and day out, based on the code you've meticulously crafted? If so, this Data Engineer role is exactly what you're looking for!

About Us:

Our client creates data connectors for multiple enterprise customers, enabling data flow from various sources using state-of-the-art technologies and cloud providers like Azure. They are technology-agnostic and embrace all technical implementations. Their common goal is to ensure data is an integral part of the business value chain, used in a production environment where data quality, continuity, and seamless flow are paramount. Monitoring for disruptions is a given.

Key Responsibilities:

• Data Connector Development: Create data connectors or processing solutions using Python or other coding languages
• Validation Testing: Define validation tests to run in the data pipeline
• Monitoring & Alerting: Define monitoring and alerting to ensure visibility when the data flow is interrupted or corrupted
• Incident Management: Lead the resolution of incidents to minimize impact on end users
• User Interaction: Engage with end users to validate and continuously improve the solutions you build
• Team Collaboration: Work with your team to build, deploy, maintain, and optimize the data flow solutions
  
  
  

Requirements

You are familiar with the scrum/agile way-of-working and in software practices that enable a professional data flow. Further requirements:

• You have a bachelor's or master's degree
• You have experience creating data ingestion scripts
• Experience with Azure is a pre
• You have 2 - 3 years of relevant work experience
• You have a good understanding of SQL and Python
• You are a team player and you have good communication skills
• Ideally, you have worked with data platforms and data lakes within an enterprise environment
  
  
  

Benefits

• 26 vacation days
• 115 euros cost allowance
• Lease car or mobility allowance
• 50% health insurance contribution
• 60% retirement plan contribution
• Performance based bonus
• Laptop and phone
• Hybrid working