Data Engineer

What we do:

GMG is a global well-being company retailing, distributing and manufacturing a portfolio of leading international and home-grown brands across sport, everyday goods, health and beauty, properties and logistics sectors. Under the ownership and management of the Baker family for over 45 years, GMG is a valued partner of choice for the world's most successful and respected brands in the well-being sector. Working across the Middle East, North Africa, and Asia, GMG has introduced more than 120 brands across 12 countries. These include notable home-grown brands such as Sun & Sand Sports, Dropkick, Supercare Pharmacy, Farm Fresh, Klassic, and international brands like Nike, Columbia, Converse, Timberland, Vans, Mama Sita's, and McCain.

What will you do:

We are looking for a highly skilled Data Engineer with a strong foundation in data architecture and hands-on experience in enabling AI/ML workloads. You will be responsible for building & maintaining data pipelines, maintaining data lake environment on AWS databricks, and preparing high-quality, trusted data assets for machine learning models and advanced analytics.

Responsibilities:

- Design, build, and manage ETL/ELT pipelines to support structured and unstructured data ingestion.

- Build and maintain data lakes on Databricks

- Ensure data quality, lineage, and governance using Unity Catalog.

- Collaborate with Data Scientists to enable model training, deployment, and monitoring pipelines.

- Transform raw data into feature stores and analytical-ready datasets.

- Optimize data pipelines for large-scale ML training, experimentation, and inference

- Implement CI/CD and data pipeline automation

- Ensure robust data security and compliance across environments.

Technical Competencies:

- 5+ year of developement experience out of which 3+ on databricks

- Must be hands-on with Python, AWS Glue, SQL

- Knowledge of Delta Lake & Kafka, etc.

- Knowledge of BigQuery is added advantage

- Working knowledge of AWS, Azure, or GCP (experience with S3, EC2, Lambda, EMR, etc.)

Qualification and Experience:

Degree in Information Technology, Computer Science or equivalent

5+ years of total development experience, with 3+ on databricks