Senior/Staff Analytics Engineer

Salla; Jeddah; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading technology company in Saudi Arabia seeks a Senior/Staff Analytics Engineer to enhance its data capabilities. You will be responsible for developing robust data pipelines, leading data initiatives, and mentoring junior staff. The ideal candidate has strong SQL skills, experience with tools like Databricks and Snowflake, and a passion for fostering data literacy across the organization. This role offers opportunities for impactful work and collaboration in a dynamic environment.

Qualifications

• Experience with designing and maintaining data pipelines and models.
• Strong proficiency in SQL and analytics tooling.
• Ability to mentor junior engineers and contribute to team maturity.

Responsibilities

• Design, develop, and maintain scalable data models and transformation pipelines.
• Partner with cross-functional teams to align data products with KPIs.
• Establish data governance and quality standards.

Skills

Data modeling

SQL

Analytics solutions

Data governance

Airflow

Tools

Databricks

BigQuery

Snowflake

Job description

Overview

The Senior/Staff Analytics Engineer at Salla will play a critical role in harnessing data to drive strategic business decisions. This position involves developing and maintaining robust data pipelines, creating insightful analytics solutions, and collaborating with cross-functional teams to elevate data literacy.

As a senior member of the team, you will lead initiatives to improve our analytics infrastructure, ensuring that business units have access to high-quality data for analysis and reporting.

Responsibilities

• Design, develop, and maintain scalable data models and transformation pipelines (dbt, SQL, Databricks/BigQuery/Snowflake).
• Partner with business, product, and analytics teams to align data products with strategic KPIs (e-commerce, merchant success, customer experience).
• Establish and enforce data governance, testing, documentation, and quality standards across the stack.
• Orchestrate workflows with Airflow (or equivalent) to ensure automation, traceability, and reliability.
• Collaborate with engineers to integrate upstream data sources (APIs, event pipelines, real-time and batch data).
• Improve developer and analyst experience through semantic layer design, self-service enablement, and performance optimization.
• Mentor junior engineers and contribute to the maturity of Salla’s data organization.