Data Engineer, Omnichannel & ML Prototyping

Al Tayer Group Career site; Dubai; On-site; AED 320,000 - 520,000; Full time

Job summary

Al Tayer Insignia is seeking an Associate Data Engineer to design and build data pipelines for omni-channel brands, ingesting data from Salesforce Marketing Cloud, Google Analytics, Firebase, Commerce Cloud, and more. The role emphasizes data integrity, quality reporting, and end-to-end prototyping including ML components.

You will maintain data quality, create prototypes, and support end-to-end development across the data stack, with weekly/monthly reporting responsibilities.

Qualifications

• 4+ years of experience in data engineering or similar roles.
• Bachelor's degree in computer science, software engineering or information technology.
• Experience designing and building data pipelines (ETL) from multiple sources and loading into data warehouses.

Responsibilities

• Design, develop, and implement data pipelines to extract, transform, and load data from various sources into our data warehouse.
• Optimize data pipelines for performance, scalability, and reliability to handle large volumes of data.
• Work with AWS services such as AWS Glue, AWS Data Pipeline, and Amazon S3 to build robust data processing workflows, API gateways.
• Utilize Tableau to create interactive and insightful data visualizations and dashboards for business stakeholders.
• Troubleshoot data-related issues, identify bottlenecks, and implement effective solutions.
• Exposure to ML, NLP, and various LLMs is an added advantage.

Skills

Python

SQL

ML basics

Education

Bachelor's degree in computer science / software engineering / information technology

Tools

Tableau

Data Studio

Metabase

Salesforce Commerce Cloud

Bitbucket

GitHub

GitLab

Job description

Al Tayer Insignia is seeking an Associate Data Engineer to design and build data pipelines for omni-channel brands, ingesting data from Salesforce Marketing Cloud, Google Analytics, Firebase, Commerce Cloud, and more. The role emphasizes data integrity, quality reporting, and end-to-end prototyping including ML components.

You will maintain data quality, create prototypes, and support end-to-end development across the data stack, with weekly/monthly reporting responsibilities.