Data Engineer

Ounass; United Arab Emirates; Hybrid; AED 60,000 - 100,000; Full time

Job summary

Join a forward-thinking e-commerce team in the Middle East as a Data Engineer. This role offers the chance to work with cutting-edge technology in a dynamic environment, where your contributions will directly impact the luxury fashion industry. Collaborate with a diverse team to enhance data accessibility and quality, driving innovation and growth. Enjoy a competitive, tax-free salary, attractive discounts, and opportunities for personal growth while being part of a prestigious organization. If you're passionate about data and technology, this is the perfect opportunity for you!

Benefits

22 days annual leave

Medical Insurance

Annual flight allowance

Relocation benefits

Access to latest technology tools

Attractive discounts across brands

Qualifications

• 2-3 years of experience in a Data Engineer role.
• Proficient in statistical languages for data manipulation.

Responsibilities

• Owning and improving end-to-end ETL pipelines.
• Implementing validation rules for data reliability.

Skills

Python

SQL

Data Warehousing

Data Structures

Communication Skills

Education

Bachelor's degree in Computer Science/Engineering

Mathematics

Statistics

Tools

AWS

GCP

Docker

Airflow

Job description

Passionate about fashion and technology Join the coolest e-commerce team in the Middle East at Ounass! As the definitive home of luxury, we offer everything from fashion to beauty, watches, home, and jewelry, serving Middle Eastern customers with unparalleled style. Our culture fosters success, prioritizing customer and employee satisfaction. Part of the prestigious Al Tayer Group and based in vibrant Dubai, we're a diverse team of 300+ members across the globe, driving innovation and growth together. Join us and be part of something extraordinary!

Join Us as a Data Engineer at Ounass:

We are seeking a talented Data Engineer who will enable access to data through transforming it into a format that can be easily analyzed and who will not only make sure the data is accessible but also they will make sure that data quality is checked through validations and tests through automated processes.

This is a mid-level role, you are required to have 2-3 years previous experience in a Data Engineer position.

The role is BASED IN DUBAI - role is onsite hybrid. Remote working is not available for this position.

Key Responsibilities:

• Owning end-to-end ETL pipeline.
• Developing & Improving ETL pipeline for finest quality through maintaining optimal design aiming at 0 production bugs.
• Improve the reliability of the data through implementing validation rules on both original data source and behavioral metrics.
• Build pipelines to acquire from new data sources to satisfy the need of data.
• Resolving problems in production by diagnosis and root cause analysis.
• Communicate efficiently with the wider team to understand the complex problems and provide insights to improve.
• Develop and manage processes and tools to monitor and analyze model performance and data accuracy
  
  

Qualifications:

• Proven experience (2-3 years) of technology startup experience.
• Bachelors degree in Computer Science/Engineering, Mathematics, Statistics
• Experience using statistical computer languages (Python, SQL) to manipulate data and draw insights from large data sets
• Knowledge of AWS / GCP
• Knowledge of Data Warehousing & Data Structures
• Basic experience in Containerization and orchestration tools (Preferable Docker and Airflow)
• A drive to learn and master new technologies and techniques
• Excellent written and verbal communication skills
• Proven ability to convey rigorous technical concepts and considerations to non-experts.
• Strong communication skills for interacting with both internal teams and external stakeholders.
• Ability to manage complex, multi-faceted projects while meeting deadlines.
  
  

What is in it for you!

• The opportunity to shape the future of fashion with a dynamic & autonomous multinational team
• Potential for personal growth, training, and further development of skills
• Enjoy attractive discounts across our brands
• Access to the latest technology tools
• Benefit from a competitive, tax-free salary
• 22 days annual leave (pro-rata)
• Medical Insurance
• Annual flight allowance
• Relocation benefits and support