Data Engineer, Burq

Salary not provided

+. Stock options and Performance-based Bonuses

SQL

AWS

GCP

Python

Scala

Java

Kafka

Airflow

Azure

Redshift

Snowflake

Kinesis

BigQuery

Mid and Senior level

Remote from Canada

On-demand delivery services

Be an early applicant

On-demand delivery services

21-100 employees

B2BLogisticsDelivery

Be an early applicant

Salary not provided

+. Stock options and Performance-based Bonuses

SQL

AWS

GCP

Python

Scala

Java

Kafka

Airflow

Azure

Redshift

Snowflake

Kinesis

BigQuery

Mid and Senior level

Remote from Canada

21-100 employees

B2BLogisticsDelivery

Company mission

To turn the complex process of offering delivery into a simple turnkey solution.

Job

Company

Role

Who you are

Experience: 3+ years of experience in data engineering, preferably in a startup or high-growth environment
Technical Skills:
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

What the job involves

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
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

Our take

Surviving within today's business landscape depends on meeting the on-demand delivery needs of B2C sales, something that can be difficult to achieve as a small business. Whilst last-mile delivery warehouses save small businesses from having to build their own delivery infrastructure, working exclusively with a single provider can greatly limit delivery options and stall a company's growth.

Burq provides an on-demand B2C delivery service platform which allows businesses to access multiple delivery providers for same-day delivery. The platform integrates directly with major sales platforms such as Zapier and Shopify, offering an analytic dashboard and delivery tracker across different modes of transport and providers.

Taking advantage of the growth in the last-mile delivery sector, Burq has scaled its operations, swiftly building a thriving customer base in the small retailer and startup sectors. Having received funding from investors such as Village Global, it is aiming to hire additional talent and increase its marketing reach to bring on new clients.

Freddie

Company Specialist at Welcome to the Jungle

Company

Company HQ

SoMa, San Francisco, CA

Leadership

Salman Habib

(Co-Founder)

Previously co-founded HelpED Foundation where they served as the President. They also co-founded/ served as the CEO at Hellofriend.

Shaban Habib

(Co-Founder)

Co-founder of HelpED Foundation and Hellofriend. Previously co-founded Hilfe Billing Providers and worked in Business Data Management at SunTrust.

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