Senior Data Engineer

At Aajil (formerly Buildnow), we're powering smarter decisions for B2B commerce through data-driven credit solutions. As a

Senior Data Engineer

( Remote ), you'll build and scale the data infrastructure that fuels our underwriting models, analytics dashboards, and real-time decision engines. If you have serious technical chops, love designing robust systems at scale, and thrive in collaborative environments, this is your opportunity to do some of the most challenging data engineering work in fintech. What You'll Do

Building and scaling data infrastructure

that processes millions in transaction volume and powers real-time credit decisions. Designing and implementing data pipelines

across data lakehouses, OLAP systems, and event-driven architectures using GCP or AWS. Optimizing ETL / ELT workflows

with tools like dbt, Airflow, Spark, and Kafka to ensure data reliability and performance at scale. Implementing real-time data processing

and streaming analytics that support instant underwriting decisions. Productionizing ML models

in collaboration with data scientists, ensuring models run efficiently in production. Contributing to technical strategy

for data architecture, tooling decisions, and infrastructure improvements. Collaborating closely

with engineering leadership, Risk, Product, and Analytics teams to solve complex data challenges. Writing production-grade code

with strong Python fundamentals, clean architecture, and robust testing. Ensuring data quality, governance, and security

across all systems and pipelines. What We're Looking For

5+ years of experience in data engineering

with a proven track record of building and scaling production data systems in high-growth environments. Deep expertise in cloud platforms

(GCP / AWS) and modern data tools (dbt, Airflow, Spark, Kafka, BigQuery / Redshift). Strong programming fundamentals in Python , with solid understanding of data structures, algorithms, and software engineering best practices. Hands-on experience with diverse data architectures , including data lakehouses (Delta Lake, Iceberg), OLAP systems, and event-driven pipelines. Proven ability to design and optimize for scale , tackling performance, cost, and reliability challenges in high-throughput environments. Experience productionizing ML models

and working closely with data science teams. Strong problem-solving skills

and ability to troubleshoot complex issues across distributed systems. Excellent collaboration skills

and ability to work effectively with both technical and non-technical stakeholders. Track record of shipping complex projects

from design to production. Nice-to-Have

Experience in fintech, lending, or credit risk environments. Familiarity with data governance and compliance frameworks. Contributions to open-source data tools or active involvement in the data engineering community. Experience with real-time fraud detection or underwriting systems. Why Aajil?

Hard Problems : Tackle challenging data engineering problems in credit risk, fraud detection, and real-time underwriting. Cutting-Edge Stack : Work with modern tools like Kafka, Airflow, dbt, Delta Lake, and cloud-native architectures. Collaborative Team : Work alongside experienced engineers solving complex problems together. Real Impact : Your work directly influences how we underwrite 800+ SMEs and process millions in transaction volume. Builder Culture : No bureaucracy, just meaningful technical work that moves the business forward.

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