Data Engineer

Burq; Lahore; On-site; PKR 2,500,000 - 4,000,000; Full time

Job summary

Burq is seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure powering our data-driven decisions. You will work closely with product, operations, and engineering teams to ensure clean, reliable data for insights, from optimizing delivery routes to enhancing customer experiences.

This is an opportunity to build scalable data systems from the ground up and shape our analytics and AI capabilities as part of a small, ambitious team.

Qualifications

• 3+ years of data engineering experience
• SQL proficiency and one of Python/Scala/Java
• Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)
• Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect)
• Hands-on data streaming with Kafka or Kinesis is a plus
• Builder mindset, comfortable with ambiguity in a small team

Responsibilities

• Design and build scalable ETL/ELT pipelines from multiple sources
• Model data for analytics, ML, and operations
• Own and maintain data infrastructure using cloud-native solutions
• Collaborate with data scientists, analysts, and engineers to deliver data products
• Implement data quality monitoring, validation, and governance
• Ensure scalable architectures that grow with the business

Job description

About Burq

Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution. It is a big mission and we want you to join us to make it even bigger.

We operate at scale, but we remain a small team relative to the opportunity. We have a staggering amount of work ahead, giving you an unprecedented opportunity to grow while doing the most important work of your career.

The Role

As one of our first Data Engineers, you will be responsible for designing, building, and maintaining the pipelines and infrastructure that power our data-driven decision‑making. You'll work closely with product, operations, and engineering teams to ensure that data is clean, reliable, and ready to drive insights, from optimizing delivery routes to improving customer experiences.

This is a unique opportunity to build scalable data systems from the ground up and shape the foundation of our analytics and AI capabilities.

What You’ll Do

• Design & Build Pipelines: Develop and maintain scalable ETL/ELT processes to ingest, clean, and transform data from multiple sources (internal systems, third‑party APIs, IoT devices)
• Data Modeling: Design and implement efficient data models for analytics, machine learning, and operational systems
• Infrastructure: Own the data infrastructure, leveraging cloud‑native solutions (e.g., AWS, GCP, or Azure) and modern data tools
• Collaboration: Partner with data scientists, analysts, and software engineers to deliver data products that enable smarter decision‑making
• Data Quality: Implement robust monitoring, validation, and governance to ensure accuracy, security, and compliance
• Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales

Requirements

• Experience: 3+ years of experience in data engineering, preferably in a startup or high‑growth environment
• Proficiency with SQL and at least one programming language (Python, Scala, or Java)
• Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)
• Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect)
• Hands‑on experience with data streaming (Kafka, Kinesis) is a plus
• Mindset: A builder mentality—comfortable with ambiguity, fast iterations, and working in a small but mighty team

Benefits

At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.