Associate Data Engineer

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.

#J-18808-Ljbffr