Data Engineer
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ShopBack
Summary
Join ShopBack's dynamic team as a Data Engineer and contribute to building scalable data systems that drive data-driven decision-making and directly impact growth. You will design, build, and optimize data transformation workflows using cutting-edge technologies like DBT, PySpark, Airflow, and HUDI. Collaborate with a team of data engineers, analysts, and business stakeholders to deliver efficient and reliable data pipelines. This role requires a Bachelor's degree in a related field and 3+ years of experience in data engineering or a related role. You'll need hands-on experience with data transformation tools and a strong analytical mindset. ShopBack offers competitive compensation, a work-from-anywhere benefit, and opportunities for career progression.
Requirements
- Bachelorβs degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
- 3+ years of experience in data engineering, data analytics, or a related role
- Hands-on experience with the design and implementation of dimensional data models
- Experience working with cloud storage solutions, preferably Amazon S3
- Knowledge of workflow orchestration tools like Apache Airflow
- Strong SQL skills and experience with data modeling concepts
- Analytical mindset with the ability to solve complex problems and optimize data workflows
- Excellent communication skills and a collaborative team-oriented approach
Responsibilities
- Work with business stakeholders to understand e-commerce data requirements and translate them into robust data models and transformations
- Design, develop, and maintain data transformation pipelines using DBT and PySpark
- Ensure data quality, integrity, and performance by implementing best practices in testing, monitoring, and optimization
- Troubleshoot and resolve issues related to data pipelines, performance bottlenecks, and downstream data consumption
- Contribute to the continuous improvement of our data infrastructure, processes, and tooling
- Document processes, workflows, and technical designs to support team knowledge sharing and onboarding
Preferred Qualifications
- Familiarity with Apache HUDI, and knowledge of similar table formats like Apache Iceberg or Databricks Delta Lake is a plus
- Experience working in e-commerce companies, with a good understanding of key data domains such as customer behavior, sales, inventory, or marketing analytics
- Experience in managing data warehouse models for large complex business requirements
- Familiarity with AWS as the cloud platform
- Exposure to CI/CD practices for data pipeline deployment
- Understanding of data governance, security, and compliance best practices
Benefits
- Competitive compensation based on your performance
- Work-From-Anywhere benefit to enable you to thrive personally and professionally
- Career progression paths and opportunities to take on greater challenges that help you realise your ambitions
- Be part of a winning team on a journey to global scale
- Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day
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