Senior Data Engineer

Silver Edge Arabia; Al Khobar; On-site; SAR 150,000 - 190,000; Full time

Job summary

Silver Edge Arabia in Saudi Arabia is seeking a Data Engineer to design and maintain GenAI-ready data infrastructure. You will build data lakes, warehouses, and feature stores; optimize pipelines for GenAI workloads; collaborate with data scientists and ML engineers.

The role requires strong Python, SQL, Spark, and ETL/ELT expertise, plus experience with Airflow or Luigi, and Git. Bachelor's in CS/Data Science or related field is expected.

Qualifications

• Proficiency in Python for data engineering tasks.
• Strong SQL with experience in NoSQL databases.
• Hands-on with Spark or Hadoop for big data processing.
• Experience building ETL/ELT pipelines and data orchestration.
• Familiarity with ML/AI data prep tools and MLOps basics.

Responsibilities

• Design and maintain GenAI-ready data lakes, warehouses, and feature stores.
• Build robust ETL/ELT pipelines and automated workflows.
• Collaborate with Data Scientists and ML Engineers on feature engineering.
• Ensure scalable, high-performance data architectures for real-time processing.

Skills

Python

SQL

NoSQL

Spark

ETL/ELT

Airflow

Version control

Education

Bachelor's degree in Computer Science, Data Science, IT

Tools

Apache Airflow

Luigi

Git/GitLab

Job description

Are you ready to build the backbone of the next generation of AI? We are looking for a detail-oriented Data Engineer to join our team and support a transformative Generative AI (GenAI) initiative.

In this role, you won't just be moving data; you will be designing and maintaining the high-performance infrastructure that powers advanced AI models for the world's leading organizations. Join a collaborative global community where you are empowered to shape your career and reimagine what's possible.

Your Role

As a Data Engineer within our AI practice, you will ensure our data workflows are efficient, our pipelines are reliable, and our systems are scalable. Your key responsibilities include:

• GenAI Optimization: Building and maintaining data lakes, warehouses, and feature stores specifically optimized for GenAI workloads.
• Pipeline Engineering: Designing and implementing robust ETL/ELT processes and automated workflows using tools like Apache Airflow or Luigi.
• Architecture Design: Developing large-scale, high-performance data architectures that support real-time data processing and streaming.
• Cross-Functional Collaboration: Working side-by-side with Data Scientists and ML Engineers to understand feature engineering and data augmentation requirements.
• Innovation: Exploring and implementing emerging tools and technologies to enhance our evolving GenAI product development.

Your Skills and Experience

We are looking for a technical expert who thrives in an Agile environment and has a passion for AI/ML infrastructure.

Technical Requirements:

• Programming: Proficiency in Python is a must. Familiarity with Scala or Java is highly valued.
• Big Data Frameworks: Hands-on experience with Apache Spark or Hadoop.
• Database Mastery: Expert knowledge of SQL and NoSQL (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
• AI/ML Context: Solid understanding of data preparation for Machine Learning, including MLOps tools and practices (MLflow, DVC).
• Version Control: Experience managing codebases and documentation via Git or GitLab.

Professional Qualities:

• Proven track record in data engineering, preferably within AI/ML environments.
• Strong problem-solving skills and a creative approach to building innovative systems.
• Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
• Education: Bachelor's degree in Computer Science, Data Science, IT, or a related field.

Why Join Us?

Join a thriving company where technology is used to build a more sustainable and inclusive world. You'll gain the experience and connections needed to shape your future while working on projects that have a tangible global impact.