Senior Data Engineer

b_labs is the transformation and digitization arm of B.TECH, on a mission to change the industry as we know it. We spearhead tech innovation at B.TECH, an organization that has been a cornerstone of the Egyptian retail industry. We are the engine powering B.TECH in achieving its goal of becoming the leading omni-channel platform for consumer electronics and appliances in Egypt. By joining b labs, you will get to benefit from a collaborative startup environment, while also enjoying the stability of working within a company that has achieved strong growth year after year. You will be part of a visionary, customer-focused team with an ambitious mission--to become a trailblazer for digital retail within the Middle East.

Responsibilities

• Design, develop, and maintain large-scale, reliable data pipelines using Python, SQL, and big data technologies such as Apache Spark and Kafka
• Build and optimize ETL/ELT processes for data transformation, loading, and integration from multiple sources
• Develop and maintain data storage solutions using both relational and NoSQL databases, including SQL Server, PostgreSQL, MySQL, and MongoDB
• Implement and manage CI/CD pipelines for data workflows, enabling automated deployments and version control
• Work with AWS services to build, deploy, and monitor cloud-based, scalable data solutions
• Leverage Apache Airflow for orchestrating workflows and PostHog for analytics tracking and event data
• Manage and enhance data warehousing solutions to support business intelligence and analytics needs
• Ensure data accuracy, consistency, and security across diverse systems and sources
• Troubleshoot and optimize data systems for performance, scalability, and cost efficiency
• Actively promote and contribute to a collaborative, innovative, and agile team
  
  

Requirements

• 5+ years of experience in data engineering, building and maintaining production-grade data pipelines and architectures.
• Proficient in Python and SQL.
• Hands-on with relational databases (SQL Server, PostgreSQL, MySQL) and NoSQL (MongoDB).
• Experience with big data and stream processing tools (e.g., Apache Spark, Kafka).
• Skilled in implementing CI/CD pipelines for data workflows.
• Strong understanding of AWS services (S3, Redshift, Lambda, Glue).
• Experience with Apache Airflow for workflow orchestration.
• Familiarity with PostHog or Amplitude for analytics tracking and event management.
• Comfortable with Docker, Kubernetes, and Linux shell scripting.
• Solid grasp of data modeling, warehousing, scalability, and reliability best practices.
• Proven ability to ensure data quality, governance, and security.
• Strong communication skills and a collaborative mindset.
• Passion for continuous learning and staying updated on emerging technologies.
  
  

Benefits

Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.

Flexibility: You know best whether you want to work from home or in the office.

Equipment: From "Day 1" you will receive all the equipment you need be successful at work.