Senior Data Engineer AI and Analytics
About This Role
About the Role
At Webaix Digital Solutions Ltd, we build modern data platforms that power intelligent decision making across industries. We believe data should be accessible, reliable, and actionable not siloed or overly complex.
We are looking for a Senior Data Engineer AI and Analytics who will take ownership of our data infrastructure and pipelines. You will design scalable systems that transform raw data into high quality datasets used for analytics, reporting, and machine learning.
You will work closely with data scientists, product teams, and business stakeholders to ensure data is clean, structured, and ready for real world use. This role requires both strong engineering expertise and a practical understanding of how data drives business outcomes.
Why Work With Us
The Environment
Our office is based in West Bay Doha, one of the leading business districts. We provide a modern and focused workspace designed for collaboration and productivity.
Engineering Culture
We prioritize clean architecture, scalability, and performance. Data engineering is a core function, not a support role.
Modern Stack
We use cloud based platforms such as AWS and Azure, along with Python, SQL, Spark, and modern data orchestration tools.
Growth
You will have access to continuous learning, certifications, and a professional development budget to stay ahead in data engineering and AI.
Key Responsibilities
Data Pipeline Ownership
Design, build, and maintain scalable ETL and ELT pipelines for structured and unstructured data
Data Architecture
Develop and optimize data warehouses and data lakes to support analytics and AI workloads
AI Data Enablement
Prepare and manage datasets used for machine learning models and advanced analytics
Data Quality and Governance
Implement validation, monitoring, and governance practices to ensure high data quality and compliance
Collaboration
Work closely with data scientists, analysts, and product teams to deliver reliable data solutions
Performance Optimization
Improve query performance and pipeline efficiency for large scale datasets
What We Are Looking For
Experience
6+ years in data engineering, big data, or analytics engineering roles
Technical Skills
Strong experience with Python and SQL
Experience with Spark, Airflow, or similar tools
Hands on experience with cloud platforms such as AWS or Azure
Experience working with data warehouses such as Snowflake, BigQuery, or Redshift
Data Knowledge
Understanding of data modeling, ETL processes, and data lifecycle management
AI and Analytics Exposure
Experience supporting machine learning pipelines or analytics platforms is highly preferred
Mindset
Strong problem solving skills with the ability to work in a fast paced and scalable environment
نوع الوظيفة: دوام كامل
الراتب المدفوع: QAR٢٦٬٠٠٠٫٠٠ لكل شهر
موقع العمل: بشكل شخصي
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