Banking Data Engineer: Lakehouse on AWS & MLOps

Tanqeeb; Abu Dhabi; On-site; AED 250,000 - 420,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Visa sponsorship

Professional development

Job summary

DeepLight AI in the UAE is seeking a Data Engineer with strong AWS and banking sector experience to design and optimize lakehouse data solutions powering enterprise analytics and ML models.

You will work across Databricks, Delta Lake, PySpark, and AWS services to unify data warehousing and data lakes while upholding banking security and governance.

Join a team delivering production-scale AI solutions and shaping data foundations for scale.

Qualifications

• Hands-on data engineering in banking/fintech environments.
• Strong command of AWS data services (S3, Glue, EMR, Redshift).
• Experience with Lakehouse architectures (Databricks, Delta Lake).
• Proficiency in Python and SQL; familiarity with Docker/Kubernetes, Terraform, Git.

Responsibilities

• Design, build, and optimize Lakehouse data solutions on AWS.
• Develop high-throughput batch and real-time ETL/ELT pipelines.
• Collaborate with ML/DS teams to support feature engineering and model deployment.
• Ensure data governance, security, and compliance in banking contexts.

Skills

Python

SQL

PySpark

Data Modeling

AWS

Tools

Databricks

Delta Lake

Docker

Kubernetes

Terraform

Git

Airflow

Job description

DeepLight AI in the UAE is seeking a Data Engineer with strong AWS and banking sector experience to design and optimize lakehouse data solutions powering enterprise analytics and ML models.

You will work across Databricks, Delta Lake, PySpark, and AWS services to unify data warehousing and data lakes while upholding banking security and governance.

Join a team delivering production-scale AI solutions and shaping data foundations for scale.