Data & Automation Engineer

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Job Title: Data & Automation Engineer

Location: Lahore/Karachi, Pakistan

Company Overview

At Dastgyr, we're on a mission to revolutionize the way businesses connect, source, and grow. We create seamless, tech-driven solutions that empower retailers and wholesalers to thrive in an ever-changing global landscape.

Since our journey began, we've raised $37 million in Series A funding, backed by renowned investors like SOSV, KFW, Cedar Mundi, ADB, OTF, and many others who share our vision. Today, our business spans 15+ countries across 5 continents, supported by a global team operating out of 5 offices worldwide.

Our success is fueled by a relentless drive to excel, a commitment to acting like owners, and a shared belief in helping each other grow. By staying on the offence, moving at lightning speed, and fostering clear communication, we've built a culture that drives innovation and pushes boundaries.

Our Vision

We've achieved incredible early success, and we're scaling aggressively to build on this momentum. Our focus is now on expanding operations, innovating offerings, and transforming the fresh produce and imported F&B sector in the UK. By the end of 2025, we aim to achieve $20 million GMV in the UK, and by 2026, we will be live in 3 key global markets: the UK, USA, and Germany.

Why Dastgyr?

Our trajectory is bold and ambitious, but it's grounded in a culture of ownership, excellence, and innovation. At Dastgyr, you'll be part of a team that doesn't just grow a business—we're reshaping the future of global commerce. Together, we're creating a diverse, dynamic company where bold ideas, exceptional talent, and global impact redefine what's possible in B2B retail.

Join us in shaping the future of commerce.

About This Role

We're looking for a curious and hands-on Data & Automation Engineer to join our team. This role is ideal for someone who loves writing SQL, building dashboards, and automating repetitive tasks using Python. You'll work closely with operations, finance, and product teams to make internal processes smoother, faster, and smarter.

No complex data infrastructure work — just smart, useful automation and data work that creates real impact.

Key Responsibilities

• Write and maintain SQL queries for reporting, monitoring, and analysis
• Build and update dashboards in tools like Looker Studio or Metabase
• Write Python scripts to automate manual tasks (e.g. Excel cleanups, bulk reporting, data syncing)
• Identify repetitive processes in teams like Ops or Finance and automate them
• Monitor existing data pipelines on Google Cloud (BigQuery, Datastream)
• Troubleshoot missing data or script issues when needed
• Collaborate across teams to ensure data is accurate, accessible, and useful
  
  

• 1–2 years of experience in a data, automation, or analytics-related role
• Strong skills in SQL and Python
• Experience with Google BigQuery, Google Sheets, and cloud-based workflows
• Familiar with Looker Studio, Metabase, or any other BI/dashboard tool
• Proactive mindset — you enjoy figuring out what's broken and fixing it
• Ability to work independently and communicate clearly with non-technical teams
• Experience automating reporting workflows using scripts and APIs
• Highly autonomous and self-driven with a strong sense of ownership and the ability to work independently with minimal oversight
  
  

• Become part of a well-funded Series A powerhouse with $37 million raised, poised to revolutionise global markets and redefine industry standards.
• Join a company aiming to go public by 2026, giving you the opportunity to grow alongside us during this exciting journey.
• Take on a dynamic role with the chance to expand into international markets, shaping the future of cross-border commerce.
• Unlock the potential of ESOPs that could translate into life-changing wealth, paving the way to financial independence and beyond.
• Collaborate with a dynamic team of serial entrepreneurs driven by the mission to solve the global cross-border challenge at scale and transform the way businesses connect.