Data Engineer Job Opportunity at Bayut & dubizzle

Bayut & dubizzle stand out as iconic, homegrown brands with a robust presence in all seven emirates of the UAE. By connecting millions of users nationwide, we are dedicated to delivering the ultimate online search experience. As a vital part of Dubizzle Group, we collaborate with some of the strongest classified brands in the market. With a collective strength of 8 brands, boasting over 160 million monthly users, we are committed to providing the best platform for their needs.

About the Role

We are seeking a talented Data Engineer to deliver world-class big data solutions and create impactful advancements for dubizzle. You will be accountable for exciting projects that cover the end-to-end data lifecycle, from raw data integrations to advanced data modeling, state-of-the-art visualization, and the development of innovative data products.

This role offers the chance to build and manage both batch and real-time data processing pipelines within a modern, cloud-based data warehousing environment. You will collaborate with various teams, such as product & tech, core business verticals, trust & safety, finance, and others, to drive success.

Key Responsibilities

• Conduct raw data integrations with primary and third-party systems.
• Model data warehouses for operational and application data layers.
• Develop in Amazon Redshift clusters with SQL as part of an agile team workflow.
• Design and implement ETL processes in Matillion ETL.
• Create real-time data pipelines and applications using AWS services like Lambda, Kinesis, API Gateway, REST API.
• Design and implement data products for data-driven features or business solutions.
• Ensure data quality, system stability, security, and coding standards in SQL, Python, and ETL design.
• Build data dashboards and advanced visualizations in Periscope Data focusing on UX, simplicity, and usability.
• Collaborate with other departments on data products, including product & technology, marketing & growth, finance, core business, and advertising.
• Contribute to a strong team culture and ambition to be at the forefront of big data.
• Work autonomously on complex projects without supervision.
• Participate in the regular ETL status check rota.

Qualifications and Requirements

Education

A top-tier technical degree in computer science, engineering, math, or physics.

Experience

• 3+ years of experience working with customer-centric data at a big data scale, preferably in an online/e-commerce context.
• 2+ years of experience with programming languages, especially Python.
• Proven track record in business intelligence solutions, scaling data warehouses, and data modeling.
• Experience with modern big data ETL tools (e.g., Matillion) is a plus.
• Experience with AWS data ecosystem or other cloud providers.
• Experience with modern data visualization platforms such as Sisense, Google Data Studio, Tableau, MS Power BI, etc.

Knowledge

• Understanding modern real-time data pipelines (e.g., serverless framework, Lambda, Kinesis) is a strong plus.
• Knowledge of relational and dimensional data models.
• Familiarity with terminal operations and Linux workflows.

Skills

• World-class SQL skills across various relational data warehousing technologies, particularly in cloud data warehousing (e.g., Amazon Redshift, Google BigQuery, Snowflake, Vertica).
• Ability to communicate insights and findings to a non-technical audience.
• Proficiency in English, both written and verbal.

Traits

• Attention to detail with strong analytical and conceptual thinking.
• Business acumen with an entrepreneurial spirit and creative thinking.
• Highly motivated, with a strong curiosity and a drive for continuous learning.
• Ability to thrive in a fast-paced, innovative environment.
• Living the team values: Simpler. Better. Faster.