Associate Data Engineer
On-site Dubai Junior Data Engineering
At a glance
Junior Data Engineering role at Hchx. Dubai.
Pay not stated Data Engineering salary
RoleData Engineering
SeniorityJunior
LocationDubai
WorkplaceOn-site
PostedOct 30, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build ETL pipelines that bring data from business platforms and internal or external sources into the warehouse
- Improve pipeline speed, scale and dependability as data volumes grow
- Check data quality and integrity, then share updates on a weekly or monthly cadence
- Create Tableau dashboards and visualizations for business stakeholders
- Prototype products with basic frontends and machine learning, supporting their development from start to finish
What you bring
- A bachelor's degree in computer science, software engineering, information technology or another listed field
- At least four years of experience, with Python and SQL skills
- Experience with batch and streaming data, cloud platforms, and a visualization tool such as Tableau
- Familiarity with CI/CD tools and foundational machine learning concepts
Who this fits
This junior-level role is based onsite in Dubai. It suits someone who is keen to learn and experiment while building data pipelines and prototypes.
From the employer
- 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.
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