Senior Analytics Engineer Remote Role For Applicants Residing Outside The UAE

About Tradeling Group

Join the force transforming MENA’s B2B landscape. Established in 2019 and backed by the Government of Dubai (DAFZA), Tradeling Group is building the digital future of trade. We operate a comprehensive B2B ecosystem that bridges global supply with regional demand through a tech-first approach. At our core is a world-class digital marketplace hosting over one million SKUs across key categories. Beyond the marketplace, we empower businesses through a suite of integrated additional services, including logistics and fulfillment, trade financing, and digital marketing support.

Following our landmark acquisition of Axiom Distribution, we have evolved into a regional powerhouse that merges marketplace innovation with deep logistics leadership. At Tradeling, we dont just facilitate transactions; we provide the end-to-end infrastructure for businesses to trade smarter, faster, and more efficiently.

Role Overview

Key Responsibilities:

Data Modeling & Architecture: Model complex business processes, designing and refining data models that reflect commercial, finance, and other business operations

Data Pipelines: Design, build, and maintain scalable ELT/ETL workflows using Apache Airflow and dbt -transform raw data into analytics-ready datasets.

Monitoring: Ensuring data is clean, tested, and reliable before it hits the BI layer. Make sure data lineage is properly managed in orchestration tools like Airflow and DBT.

Build for History: Design and implement historical tracking (e.g., Slowly Changing Dimensions) so we can accurately report on states at any point in the past.

Data Governance: Establish and maintain data governance standards across the analytics layer and drive best practices for data lineage, ownership, and change management.

Streamline data development workflows and implement best practices using tools like DBT, Airflow Building data models for the metrics layer / semantic layer to enable future conversational self-serve reporting

Technical Requirements

• 5+ years of professional full-time experience in Analytics Engineering / BI / Warehouse Modelling.
• Expert SQL: You dont just write queries; you write performant, readable, and dry (Dont Repeat Yourself) code
• dbt (Data Build Tool): Deep experience using dbt to manage the transformation layer. Experience in migrating existing models from standalone SQL models to dbt models.
• Data Warehousing: Strong understanding of data warehousing with BigQuery. Experience with version control (Git), orchestration (Airflow), and BI tools (Metabase, Tableau, or Looker).
• Dimensional Modeling: A firm grasp of Kimball or Star Schema methodology to create tables that enable simple reporting.
• Proficiency in Python for scripting and data manipulation
• Hands-on experience with data orchestration tools such as Airflow, Dagster, or similar orchestration tools.
• Ability to guide responsible adoption of AI in the data ecosystem
• Good understanding of data integration methods, including batch, real-time/near-real-time, and DataOps practices.
  
  

• Work at a fast-growing, government-backed digital company
• Collaborate with a diverse and talented team
• Be part of MENA’s evolving B2B ecosystem
• Competitive salary and benefits package
• Opportunities for growth, learning, and innovation