Senior Data Engineer AI and Analytics

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.

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.

We prioritize clean architecture, scalability, and performance.

Data engineering is a core function, not a support role.

We use cloud based platforms such as AWS and Azure, along with Python, SQL, Spark, and modern data orchestration tools.

You will have access to continuous learning, certifications, and a professional development budget to stay ahead in data engineering and AI.

Design, build, and maintain scalable ETL and ELT pipelines for structured and unstructured data

Develop and optimize data warehouses and data lakes to support analytics and AI workloads

Prepare and manage datasets used for machine learning models and advanced analytics

Implement validation, monitoring, and governance practices to ensure high data quality and compliance

Work closely with data scientists, analysts, and product teams to deliver reliable data solutions

Improve query performance and pipeline efficiency for large scale datasets

6+ years in data engineering, big data, or analytics engineering roles

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

Understanding of data modeling, ETL processes, and data lifecycle management

Experience supporting machine learning pipelines or analytics platforms is highly preferred

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