Data Engineer

• A highly collaborative team player who enjoys solving complex data problems  • Passionate about building scalable and reliable systems  
• Detail-oriented with a strong focus on data quality and performance  • Comfortable working in fast-paced, agile environments  
• Strong communicator who can work cross-functionally with technical and non technical stakeholders  
• Curious and proactive with a continuous learning mindset  
• Ownership-driven and accountable for end-to-end delivery  
  
  

As a Data Engineer, you will be part of the team responsible for building and maintaining the  production data systems that power our ecommerce platform. You will design, develop, and  optimize scalable ETL/ELT pipelines across batch and streaming architectures while ensuring  high reliability, observability, and performance. Working closely with Product Managers,  

Tech Leads, and Engineering teams, you will contribute to building data-driven systems that  support leading global retailers and brands.

In this role, you will lead and execute initiatives that support our data engineering and  platform scalability efforts. You will collaborate closely with Product Managers, Tech Leads,  and cross-functional engineering teams to design and deliver reliable data pipelines and  production-grade data services. This role requires strong expertise in modern data  engineering practices, cloud infrastructure, and scalable architecture design. You will play a  key role in helping Athos Commerce drive product visibility, operational efficiency, and  ecommerce growth for global brands. 

• Design, build, and maintain scalable ETL/ELT pipelines using Python for batch and  streaming workloads  
• Develop and manage production-grade data services exposed through REST and/or  gRPC APIs  
• Design and optimize data models across OLTP and OLAP systems  
• Implement and maintain Change Data Capture (CDC) and time-travel-enabled data  architectures  
• Manage and optimize cloud-based data infrastructure across Azure, AWS, or GCP  environments  
• Own CI/CD workflows for data pipelines, including automated testing and  deployments  
• Write unit and integration tests to ensure data quality, pipeline stability, and  reliability  
• Collaborate with Product Managers and Tech Leads to scope, estimate, and deliver  engineering work  
• Participate in code reviews and contribute to engineering best practices and  documentation  
• Monitor and improve system observability, performance, and operational efficiency 
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent  practical experience  
• 2+ years of experience in Python and modern data engineering practices  
• Strong experience building production ETL/ELT pipelines for batch and streaming  systems  
• Hands-on experience with DataFrame-based processing tools such as pandas, Polars,  or Arrow  
• Understanding of OLTP vs OLAP systems and modern data modeling principles  
• Experience with CDC frameworks and time-travel-enabled data systems such as Delta  Lake or Apache Iceberg  
• Experience building and managing REST and/or gRPC APIs  
• Familiarity with CI/CD tools such as GitHub Actions, AWS CodePipeline, or similar  • Experience working with cloud platforms such as Azure, AWS, or GCP  • Knowledge of Git, Agile methodologies, and collaborative engineering workflows  
• Experience with tools such as Apache Airflow, dbt, Kafka, Databricks, or equivalent is  a plus  
  
  

Benefits and Company Perks 

• 24 PTOs in a calendar year 
• Company-paid Health Insurance 
• Company-paid Short Term and Long Term Disability coverage 
• Company-paid Accidental Insurance 
• Company-paid Learning & Development (L&D) programmes 
• Flexible work environment – work from home, office, or hybrid 
• Collaborative and innovation-driven work culture 
• Opportunity to work on cutting-edge AI-powered ecommerce technology

Athos Commerce is an equal-opportunity employer and proud to foster a workplace free  from discrimination and harassment. We strongly believe that diverse backgrounds,  experiences, and perspectives are essential in cultivating an inclusive culture and building an  innovative, successful organization. All qualified applicants are considered for employment,  without regard to age, race, color, religion, sex, national origin, disability, veteran status,  sexual orientation, gender identity, or any other protected status. If you require  accommodation during the application process, please don't hesitate to contact us.