Senior Data Engineer at AdalFi
AdalFi is hiring a Senior Data Engineer in Karachi, Pakistan +1 more. On-site.
About AdalFi
AdalFi is a fintech company that provides a digital lending platform. It uses AI-powered credit scoring to assess consumers and small and medium-sized enterprises (SMEs), including those with limited credit history, and offers lending products such as personal loans, salary advances, credit cards, auto loans, revolving finance, supply chain finance, and term loans. Its platform is designed for banks, fintechs and other lenders, and platform businesses and marketplaces, enabling real-time, automated lending decisions through APIs and embedded banking channels. The company focuses on Pakistan.
Senior Data Engineer job description
Role Overview:
At Adal Fintech, we are seeking a skilled Data Engineer with strong expertise in SQL, PL/SQL, Stored Procedures, Database Query Optimization, SSIS, Apache Spark, and Python. The ideal candidate will design, develop, and optimize data pipelines and ETL workflows, ensuring efficient and scalable data solutions to support business intelligence and analytics initiatives.
About AdalFi:
At AdalFi, we’re building Pakistan’s fastest-growing AI-powered digital lending infrastructure, enabling banks to launch innovative credit products in days instead of months. Our platform uses advanced AI and data analytics to help financial institutions make smarter, faster lending decisions transforming access to credit for millions.
What You’ll Do:
•Build and maintain ETL processes and data pipelines (SQL, PL/SQL, SSIS, Apache Spark, Python).
•Write and optimize complex queries and stored procedures for high performance.
•Work with large-scale structured/unstructured data, ensuring quality, security, and compliance.
•Collaborate with BI teams and stakeholders to deliver reliable, scalable data solutions.
•Document technical designs and workflows for knowledge sharing.
What We’re Looking For:
•4+ years of experience in Data Engineering field.
•Strong expertise in SQL, PL/SQL, Stored Procedures, query optimization, and performance tuning.
•Hands-on experience with ETL tools (SSIS), big data (Apache Spark), and Python.
•Solid understanding of data modeling, warehousing, and relational databases.
•Familiarity with Git, CI/CD, and collaborative problem-solving.
Requirements:
•Bachelor’s degree in CS, IT, or related field.
•Experience with cloud platforms (AWS, Azure, GCP).
•Knowledge of data governance, security, and compliance.
•Exposure to NoSQL and real-time data processing.
