Role Name: Data Engineer
Department: Product Engineering
Experience Required: 6+ years of Data Engineering Experience
Location: Remote
Employment Type: Full-time
Work Hours: 8 hours/Day, 5 days/Week
Salary: Up to BDT 170K/month

Core Tech Stack We’re Looking For

Python (FastAPI preferred) – For building high-performance backend services, data processing layers, and RESTful APIs.
SQL & NoSQL Databases – For OLTP and OLAP use cases, complex queries, analytics, and large-scale data handling.
RESTful APIs – For client-facing and internal service integrations.
Data Pipelines & Backend Services – For complex calculations, transformations, and algorithm-driven processing.
Git & Agile Practices – For collaborative development, version control, and iterative delivery.
Fluency in English (Speaking & Writing) – Required for cross-team collaboration and documentation.
Strong problem solver with a data-driven mindset and focus on performance, scalability, and reliability.

Why Work With ZeuZ?

At ZeuZ (Automation Solutionz), we solve challenging engineering problems that don’t come with ready-made answers. From designing scalable backend systems and data pipelines to integrating diverse databases, third-party APIs, and AI-driven components, our engineers work at the intersection of data, performance, and real-world impact. You’ll collaborate closely with product and engineering teams to shape ambitious yet sustainable solutions that power a world-class automation platform.

Role Summary

We’re looking for a Data Engineer with 6+ years of experience who enjoys working on backend systems, data pipelines, and core algorithms. In this role, you’ll build and optimize data-centric services, design robust APIs, and collaborate with product teams to turn complex requirements into scalable, production-ready solutions.

Key Responsibilities

Develop backend processing services for complex calculations and data transformations.
Build integration layers connecting SQL/NoSQL databases and third-party APIs.
Design, develop, and maintain RESTful APIs for internal and client-facing services.
Own the implementation of core algorithms and backend data pipelines based on project requirements.
Collaborate with the product team on roadmap discussions and technical feasibility.
Optimize performance using caching strategies and efficient system design.
Write clean, maintainable, and well-documented code following best practices.

Qualifications We Are Looking For

Must-Haves

6 years+ of experience as a data-focused Software Engineer.
BSc/MSc in Computer Science, Computer Engineering, or equivalent practical experience.
Strong proficiency in Python (FastAPI experience is a plus).
Solid experience with SQL and NoSQL databases for transactional and analytical workloads.
Experience building and consuming RESTful APIs.
Understanding of performance optimization and caching strategies.
Comfortable working with Git, code reviews, and Agile development methodologies.
Strong command of written and spoken English.
Experience with Apache Airflow or similar workflow orchestration tools.

Nice-to-Haves

Cloud experience (AWS or similar) and infrastructure-as-code tools like Terraform.
Experience with containerization (Docker) and orchestration (Kubernetes).
Knowledge of JVM languages (Scala or Java) and event streaming platforms like Kafka.
Understanding of microservices architecture.