Senior Data Engineer

mylo is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you’re purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH-Egypt’s leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions-mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.

We are seeking a passionate and experienced Senior Data Engineer to join our team within the Fintech domain. This role is ideal for someone who thrives in a fast-paced environment and is excited to design, build, and scale secure, high-performing infrastructure to support a range of financial products.

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.