Senior Analytics Engineer; Remote – residing outside UAE

Position: 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 don’t just facilitate transactions; we provide the end‑to‑end infrastructure for businesses to trade smarter, faster, and more efficiently.

Role Overview

• 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:

Ensure data is clean, tested, and reliable before it hits the BI layer. Manage data lineage 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; build 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:

Write performant, readable, and dry (Don’t Repeat Yourself) code.

• dbt (Data Build Tool):

Deep experience using dbt to manage the transformation layer; experience migrating existing models from standalone SQL to dbt.

• Data Warehousing:

Strong understanding of Big Query; experience with version control (Git), orchestration (Airflow), and BI tools (Metabase, Tableau, or Looker).

• Dimensional Modeling:

Proficient in 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.
• 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 Data Ops practices.

Why Join Us

• 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.

Equal Opportunity

Employer:

At Tradeling, we are committed to diversity, inclusion, and integrity, and we strive to create a workplace that reflects these values. All employment decisions are made based on qualifications, merit, and business needs.

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