Data Engineer: Real-Time Pipelines, Cloud & ML

Employment; Doha; On-site; QAR 218,000 - 437,000; Full time

Job summary

Artefact in Doha, Qatar is expanding its Data Engineering and Analytics Platforms team. We are looking for a Data Engineer to build robust data pipelines using Python and SQL, enabling reliable ETL across systems.

You will integrate cloud services (Azure, GCP, AWS), collaborate with ML teams, and apply Spark and Kafka for real-time processing. Join a fast-growing environment focused on data-driven decision making and impactful projects.

Qualifications

• 2-5 years: Data Engineer.
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark and Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience collaborating with business stakeholders.

Responsibilities

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

Skills

Python

SQL

Database management

Data pipelines ETL

Cloud services

ML modeling

Spark

Kafka

Stakeholder communication

Education

Bachelor's degree in Computer Science / Electronics / Communications Engineering

Tools

Azure

GCP

AWS

Apache Spark

Kafka

Job description

Artefact in Doha, Qatar is expanding its Data Engineering and Analytics Platforms team. We are looking for a Data Engineer to build robust data pipelines using Python and SQL, enabling reliable ETL across systems.

You will integrate cloud services (Azure, GCP, AWS), collaborate with ML teams, and apply Spark and Kafka for real-time processing. Join a fast-growing environment focused on data-driven decision making and impactful projects.