Data Engineer

On site

Ghent, Belgium

Full Time

04-02-2025

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Job Specifications

Data Engineer

Location: Gent, Belgium
Job Type: Full-Time
Experience: Minimum 4 Years

About Us
Our client is at the forefront of innovation in technology. We are dedicated to pushing the boundaries of what's possible by leveraging data-driven insights. As part of our dynamic and forward-thinking team, you will have the opportunity to work on exciting projects that make a real impact.

Role Overview

We are seeking a highly skilled and motivated Data Engineer to join our team in Antwerp. You will play a crucial role in designing, building, and maintaining the infrastructure that powers our data-driven solutions. If you are passionate about data engineering and thrive in a collaborative environment, we want to hear from you!
Key Responsibilities

Design and Develop scalable data pipelines to collect, process, and analyze large volumes of data.
Implement and Optimize ETL (Extract, Transform, Load) processes to ensure the efficiency and reliability of our data operations.
Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide solutions.
Maintain and Monitor data systems to ensure high availability and performance.
Ensure Data Quality and Integrity through best practices and effective data management techniques.
Stay Updated on the latest trends and technologies in data engineering and propose innovative solutions to improve our data infrastructure.

Essential Skills and Tools

Proven Experience in data engineering with at least 4 years of relevant experience.
Strong Knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
Experience with Big Data Technologies such as Hadoop, Spark, and Kafka.
Proficiency in Programming Languages like Python, Java, or Scala.
Familiarity with Cloud Platforms (AWS, Azure, or Google Cloud) and their data services.
Experience with ETL Tools (e.g., Apache NiFi, AWS Glue, Talend).
Knowledge of Data Warehousing Concepts and tools like Snowflake, Redshift, or BigQuery.
Understanding of Data Modeling and Database Design.
Experience with Version Control Systems (e.g., Git).
Excellent Problem-Solving Skills and attention to detail.
Strong Communication Skills and the ability to work effectively in a team.

Preferred Qualifications

Experience with Containerization Technologies like Docker and Kubernetes.
Familiarity with Machine Learning and Data Science Workflows.
Certifications in cloud platforms or data engineering are a plus.

What We Offer

Competitive Salary and comprehensive benefits package.
Flexible Working Hours and the possibility of remote work.
Opportunities for Professional Development and continuous learning.
Collaborative and Inclusive Work Environment where your ideas are valued.
State-of-the-Art Tools and Technologies to work with.

About the Company

As the global leaders in solving the technology skills gap, we find, train, and deploy experienced professionals, reskill your existing staff and deliver world-class consulting services, all through our unique range of talent solutions. What we do Find talent Permanent and contract recruitment for one role or an entire team Train talent Upskill existing employees via our training programs Deploy talent Access experienced professionals through our hire-train-deploy model Consulting services A new team or project support ... Know more

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