Data Analytics Engineer (Pakistan)

About the role

This role sits within Mous' Commercial function in Pakistan, working with a cross‑border data team to build and maintain the data platform that powers the business. You will develop pipelines, dbt models, warehouse optimisation and reporting, while also automating manual processes and supporting internal AI tooling.

Key responsibilities

• Build and maintain data connectors, onboarding new sources and retiring deprecated ones.
• Keep ERP sync and authentication running reliably and efficiently.
• Maintain and optimise warehouse performance through effective data modelling and materialisation.
• Develop and maintain dbt models that feed trusted datasets into Power BI.
• Automate manual data processes to reduce operational overhead.
• Build, audit and maintain internal AI tooling.
• Support the team’s move to best‑practice version control, testing, documentation and metadata.
• Work with Finance and S&OP in Pakistan to deliver complex technical and reporting solutions.

Required profile

• 1–3 years of experience in a data‑focused role (fresh graduates with strong internships/projects are also considered).
• Solid SQL fundamentals, including joins, aggregations and window functions.
• Hands‑on exposure to dbt or a similar transformation tool.
• Basic understanding of cloud data warehouses.
• Familiarity with Git and Python, or a strong aptitude to learn them.
• Experience with a BI tool such as Power BI.
• Strong problem‑solving skills and a proactive, self‑directed learning mindset.
• Ability to collaborate across time zones and cultures.

Required skills

• SQL
• dbt
• Cloud data warehouse (e.g., Redshift)
• Git
• Python
• Power BI
• ELT pipeline tools
• Data modelling

What we offer

• Hybrid working model with four days per week in the Lahore office.
• Travel allowance for daily commuting and work‑related travel.
• Medical allowance for you and your dependents.
• Long‑term rewards including a month of paid leave after five years.
• Competitive starting salary aligned with experience and impact.
• Dynamic, data‑driven culture with high‑performance collaboration.
• Growth and development opportunities through training budget and internal “Mousterclasses”.
• Access to exclusive perks and discounts via Charlie HR.