Associate Data Engineer

Al Tayer Insignia; Dubai; On-site; AED 260,000 - 420,000; Full time

Job summary

Al Tayer Insignia is seeking an Associate Data Engineer to design and build data pipelines across our omnichannel platforms. You will ingest data from Salesforce Marketing Cloud, Google Analytics, Firebase, Commerce Cloud, and other sources, ensuring data quality and reporting weekly and monthly.

You will also prototype ML-driven projects and basic frontends, supporting end-to-end product delivery. A strong foundation in Python, SQL, and cloud services is required to thrive in our luxury retail

Qualifications

• Bachelor's degree in computer science, software engineering or information technology.
• Minimum 4 years of experience in data engineering or related field.
• Strong proficiency in Python and SQL, plus ETL/ELT data pipelines.

Responsibilities

• Design, develop, and implement data pipelines to extract, transform, and load data from various sources into the data warehouse.
• Optimize data pipelines for performance, scalability, and reliability with large data volumes.
• Work with AWS services (Glue, Data Pipeline, S3) to build robust data processing workflows and APIs.
• Utilize Tableau to create interactive dashboards for stakeholders.
• Troubleshoot data issues and bottlenecks; ensure data quality and integrity.
• Exposure to ML, NLP and LLMs is an added advantage.

Skills

Python

SQL

Salesforce Commerce Cloud

ETL pipelines

AWS

GCP

Tableau

CI/CD

LLMs

NLP

Education

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

Tools

AWS

GCP

Tableau

Bitbucket

GitHub

GitLab

Job description

At Al Tayer Insignia, your career is more than a job — it’s a journey into the heart of luxury retail. For over 40 years, we’ve partnered with the world’s most iconic brands, creating award-winning retail experiences across our boutiques, department stores, and leading online platforms. With stores and outlets across the GCC and a truly seamless omnichannel presence, we bring style, innovation, and heritage together. Here, you’ll join a diverse, customer obsessed, passionate team that celebrates creativity, values individuality, and empowers you to grow. Join us on our journey, reimagining fashion and redefining the meaning of luxury in the region.

• As Associate Data Engineer you will be designing building new data pipelines and creating new once for Al Tayer omni channel brands. This involves ingestion from sources like salesforce marketing cloud , Google Analytics, firebase, commerce cloud, service cloud and various other internal and external sources.
• You will be responsible to maintain data integrity data quality and report them on weekly/monthly basis.
• You will create several prototype products which included ML’s and basic frontends and support in building them end to end.

Essential Roles and Responsibilities

• Design, develop, and implement data pipelines to extract, transform, and load (ETL) 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 ML , NLP and to various LLM’s is an added advantage.

Education/Certification and Continued Education

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

Years of Experience

• Minimum 4 years of experience, open mindset and eagerness to learn and experiment with data to create value and there by knowledge.

Knowledge and Skills

• Python and SQL.
• Salesforce Commerce Cloud
• Streaming and batch processing of data.
• Cloud computation – GCP, AWS.
• Any visualization tool Tableau / Data studio /Metabase.
• CI/CD’s – bitbucket/ Github/GitLab.
• Basic understanding of ML like logistic regression, NLP’s, clustering.
• Exposure ML, NLP and to various LLM’s is an added advantage.