Data Engineer

Data Engineer – Databricks | E-commerce / Retail

We are looking for a Data Engineer with strong Databricks experience to join a data & AI project for a large-scale e-commerce / retail business, focused on building a modern, scalable data platform supporting analytics, ML and AI use cases.

What you’ll do

• Design, build and maintain scalable data pipelines using Databricks and Spark.
• Integrate data from multiple business sources and build reliable, reusable data flows.
• Develop and optimize data processing solutions for large volumes of retail and e-commerce data.
• Work closely with Data Scientists, Analysts and business stakeholders to deliver data products supporting ML, BI and analytics.
• Contribute to the development of a unified data platform and high-quality data layer.
• Ensure data pipelines are reliable, scalable, performant and easy to maintain.
• Optimize data processing and infrastructure with a focus on both performance and cost.
• Help establish and maintain data quality, monitoring and engineering best practices.

Your experience

• Hands-on experience with Databricks is required.
• Previous experience in e-commerce or retail is a must.
• Strong experience in Data Engineering and building production-grade data pipelines.
• Strong SQL and PySpark / Spark skills.
• Experience working with large datasets and distributed data processing.
• Good understanding of modern data platform / lakehouse architecture.
• Experience with cloud environments such as Azure, AWS or GCP.
• Experience with Delta Lake and data orchestration tools will be a strong advantage.
• Ability to work closely with Data Scientists and understand their data requirements.
• Strong problem-solving skills and a pragmatic approach to data engineering.

Relevant domain experience

You should have hands-on experience in at least one of the following areas:

• Customer 360 & Personalization – integrating customer, e-commerce, CRM, loyalty or marketing data.
• Demand Forecasting & Inventory – building data pipelines supporting sales forecasting, inventory or replenishment use cases.
• Unified Data Platform / Analytics – integrating data from ERP, e-commerce, marketplaces, marketing, POS or other business systems into a unified data layer.

Tech stack

Databricks, Apache Spark, PySpark, SQL, Delta Lake, Cloud

Why join?

You’ll be part of a large-scale e-commerce / retail data transformation, building the data foundations that power analytics, machine learning and AI while working with modern Databricks-based architecture.