Data Engineering Consultant

Black & Grey HR Consultancy FZE; Abu Dhabi; On-site; AED 180,000 - 300,000; Full time

Benefits offered by this job

Competitive Salary + Benefits

Hands-on Snowflake exposure

Mentorship from senior data engineers

Career progression

Job summary

Black & Grey HR is recruiting for a leading investment group in the UAE to hire a Data Engineering Consultant with strong Snowflake expertise. The role focuses on enabling advanced analytics across retail data, including sales, inventory, and supply chain, while leveraging Cortex AI insights for forecasting and personalisation.

You will collaborate with senior data engineers and analysts, develop robust data pipelines, and ensure data quality.

Qualifications

• 3+ years of Data Engineering experience, ideally within retail or e-commerce environments.
• Solid, practical experience with the Snowflake Data Cloud.
• Strong command of SQL and Python.
• Familiarity with ETL/ELT tools (e.g., dbt, Airflow, or similar).
• Experience working with BI platforms such as Tableau, Power BI, or Looker.
• Snowflake or cloud-related certifications are considered a plus.

Responsibilities

• Contribute to the development and upkeep of data pipelines within Snowflake.
• Provide support for ETL/ELT processes involving retail datasets (POS, e-commerce, inventory, CRM).
• Work alongside senior data engineers and analysts to maintain data quality and reliability.
• Gain practical experience in applying Cortex AI capabilities to retail use cases such as recommendations and forecasting.
• Document data processes, pipelines, and model designs.
• Monitor pipeline performance and assist with troubleshooting when issues arise.
• Respond to ad-hoc data requests originating from business stakeholders.

Skills

Data engineering

Snowflake

SQL

Python

BI platforms

Tools

dbt

Airflow

Job description

Black & Grey HR is recruiting for a leading investment group in the UAE. Our client is looking to hire a Data Engineering Consultant with strong Snowflake expertise to support retail data transformation efforts. The role is centered on enabling advanced analytics across customer, sales, inventory, and supply chain functions, while also leveraging AI-derived insights to drive improvements in demand forecasting, personalisation, and operational efficiency.

Key Responsibilities

• Contribute to the development and upkeep of data pipelines within Snowflake.
• Provide support for ETL/ELT processes involving retail datasets (POS, e-commerce, inventory, CRM).
• Work alongside senior data engineers and analysts to maintain data quality and reliability.
• Gain practical experience in applying Cortex AI capabilities to retail use cases such as recommendations and forecasting.
• Document data processes, pipelines, and model designs.
• Monitor pipeline performance and assist with troubleshooting when issues arise.
• Respond to ad-hoc data requests originating from business stakeholders.

Qualifications & Experience

• 3+ years of Data Engineering experience, ideally within retail or e-commerce environments.
• Solid, practical experience with the Snowflake Data Cloud.
• Strong command of SQL and Python.
• Familiarity with ETL/ELT tools (e.g., dbt, Airflow, or similar).
• Experience working with BI platforms such as Tableau, Power BI, or Looker.
• Snowflake or cloud-related certifications are considered a plus.

Core Competencies

• Strong analytical thinking and problem-solving capabilities.
• Ability to interpret retail business needs and translate them into data-driven solutions.
• Good communication skills, comfortable interacting with both technical teams and business users.
• Agile delivery mindset and ability to manage stakeholder relationships effectively.

Benefits

Competitive Salary + Benefits

• Hands-on exposure to Snowflake and Cortex technologies.
• Involvement in full-cycle retail analytics projects.
• Guidance and mentorship from experienced senior data engineers.
• Opportunities to actively contribute to AI-focused business insights.
• Strong organisational backing for ongoing learning, professional growth, and career progression.