[ref. t17245721] Senior Data Engineer - AI Focused

apartmentUMATR placeDubai calendar_month 

Job Description

Senior Data Engineer AI-Focused | Dubai (Hybrid)

**Must be already based in the UAE**

Were looking for a Senior Data Engineer to join a fast-growing tech start-up in the UAE, think industrial operations combined with a lot of AI...

You&aposll be playing a key role in building infrastructure to power the future of AI-driven operations

This is a high-impact role for someone who thrives in designing and building modern data systems that not only support strong governance and warehousing - but also enable rapid AI experimentation and productisation.

You&aposll come in and lead the Data Engineering function for the business. This isn&apost a role for someone that relies on a big Data Engineering team - you need to be capable of steering the ship yourself and having a huge impact in a fast-paced environment.

Youll work closely with machine learning engineers, data scientists, and product teams to build and maintain data infrastructure that powers intelligent decision-making at scale.

What&aposs in it for you

AED 35k-40k

Hybrid working flexibility

Annual flight tickets

VISA + Medical for you and the family

ESOP

What You&aposll Be Doing
  • Design, build, and maintain scalable data pipelines and feature stores to support AI/ML workflows
  • Own the development of structured and unstructured datasets for training and inference use cases
  • Implement and uphold data governance, cataloging, lineage, and privacy best practices
  • Collaborate with AI teams to understand experimental needs and deliver appropriate datasets in automated, reproducible ways
  • Maintain and optimize our client&aposs modern data stack, including data warehousing and orchestration tools
  • Shape the future of data architecture for real-time, batch, and streaming applications
What You Need To Bring
  • 6+ years of experience in data engineering
  • Experience working within a fast-paced start-up, owning the data engineering operations
  • Strong background with SQL, Python, and data modeling
  • Hands-on experience with cloud-native data tooling (must have experience with AWS/GCP)
  • Proven experience with tools like: dbt, Airflow, Snowflake, BigQuery, Kafka, Spark
  • Familiarity with ML data workflows building datasets for LLMs, CV models, time-series prediction, etc
  • Exposure to MLOps tools like MLflow, Vertex AI, or SageMaker is a strong plus
  • Deep understanding of data quality, versioning, and reproducibility in AI settings

Think you&aposre a good fit Apply today and if you&aposre a good fit, we will reach out

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