AI/ML Data Engineer — Scalable Pipelines (Hybrid)

Placements24; Netherlands; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary package

Hybrid work arrangement

Health and wellness benefits

Career development opportunities

Collaborative, innovative team in Welk

Job summary

Placements24 is seeking a skilled Data Engineer with a specialization in AI/ML to join our growing team in a hybrid work environment. You will design, build, and maintain robust data pipelines that support development and deployment of ML models.

The role involves handling large datasets, ensuring data quality, and optimizing data infrastructure for performance and scalability. You will collaborate with data scientists to understand data requirements and implement governance and security best

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of data engineering experience focused on AI/ML projects.
• SQL proficiency and experience with big data technologies (Spark, Hadoop).
• Experience with cloud data services (AWS S3, Azure Data Lake, GCP).
• Familiarity with ML workflows and data modeling techniques.
• Strong programming skills in Python or Scala.

Responsibilities

• Design, construct, install, and maintain scalable data pipelines for AI/ML applications.
• Develop processes for data acquisition, cleansing, transformation, and aggregation.
• Ensure data accuracy, integrity, and efficiency for analytical and modeling purposes.
• Collaborate with data scientists and ML engineers to understand data requirements.
• Optimize data infrastructure for performance and cost-effectiveness.
• Implement data security and governance best practices.

Skills

SQL

Big data technologies

Python/Scala

Education

Bachelor's degree in Computer Science/Engineering

Tools

Spark

Hadoop

Job description

Placements24 is seeking a skilled Data Engineer with a specialization in AI/ML to join our growing team in a hybrid work environment. You will design, build, and maintain robust data pipelines that support development and deployment of ML models.

The role involves handling large datasets, ensuring data quality, and optimizing data infrastructure for performance and scalability. You will collaborate with data scientists to understand data requirements and implement governance and security best