About Bosta:
Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions.
We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
The Role!:
We’re seeking a Data Engineer with 4+ years of experience to design our data platform, set engineering
standards, and drive operational insights. This role will lead the development of our data team and
processes as the company expands.
What will you do?
Data Integration & ETL Development:
Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g.,
databases, SaaS applications, APIs, MongoDB, and flat files) into a centralized data platform.
Design and develop complex ETL processes to ensure data quality, consistency, and reliability.
Optimize data transformation workflows to improve performance, scalability, and maintainability.
Data Infrastructure & Platform Management:
Implement and maintain data ingestion, processing, and storage solutions that support the organization’s operational
analytics requirements.
Ensure reliability, security, and availability of the data infrastructure through effective monitoring, alerts, troubleshooting,
and disaster recovery planning.
Lead the design and evolution of the data architecture across warehouses, data lakes, and real-time pipelines.
Data Governance, Processes & Team Leadership:
Establish data engineering processes, best practices, coding standards, documentation requirements, and operational
checklists.
Define and build all data-related roles, responsibilities, workflows, and procedures within the organization.
Lead data initiatives end-to-end, working closely with engineering, product, operations, and upper management teams.
Act as the founding member of the data engineering function and take ownership of scaling and mentoring the data team
as the company grows.
Ensure alignment between data architecture and business needs, especially in areas like inventory, warehouse operations,
SLA reporting, and order lifecycle tracking.
Minimum 4+ years of experience as a Data Engineer (preferably in data-driven companies or fast-paced startups).
Proven experience designing and implementing data integration and ETL pipelines using tools such as Apache Airflow,
Airbyte, or cloud-based ETL solutions.
Strong hands-on experience with data infrastructure, including data lakes, data warehouses, and real-time streaming
platforms (e.g., Elastic, Google BigQuery, MongoDB).
Proficiency in Python or Java, and excellent SQL skills for building efficient transformations and analytical queries.
Experience with cloud computing platforms such as AWS and services like Lambda, EC2, S3, and IAM.
Demonstrated ability to establish data engineering standards, processes, and documentation.
Experience mentoring junior engineers or leading small technical initiatives is a strong plus.
Excellent problem-solving skills, strong communication abilities, and the capability to collaborate effectively with cross-
functional teams.
