Lead Data Engineer

Description

Summary: This role involves designing and managing data pipelines linking data warehouses with marketing and customer engagement platforms to power high-volume e-commerce operations. Highlights: 1. Take ownership of designing and managing data pipelines 2. Build efficient and scalable integrations for customer segmentation 3. Collaborate with marketing, analytics, and CRM teams We are seeking an experienced **Lead Data Engineer** to join our team and take ownership of designing and managing data pipelines that link our data warehouse with marketing and customer engagement platforms. This role focuses on building efficient and scalable integrations that enable customer segmentation, campaign execution, and feedback loops from engagement data. If you are passionate about data engineering and want to work on solutions that power high\-volume e\-commerce operations, we encourage you to apply. **Responsibilities** * Design and maintain ETL/ELT pipelines using Python and SQL to facilitate data movement between the data warehouse and external systems * Automate workflows to ensure data accuracy, scalability, and timely delivery * Build bi\-directional data flows to integrate customer and campaign data with engagement platforms, while capturing performance data back into internal systems * Collaborate with marketing, analytics, and CRM teams to transform business requirements into technical implementations * Monitor, troubleshoot, and optimize data pipelines to maintain reliability and data quality * Quickly onboard and operationalize the technology stack, documenting processes, workflows, and schemas to ensure maintainability * Ensure adherence to data governance, security, and privacy standards across all data operations * Work closely with technical and non\-technical stakeholders to align goals and ensure successful delivery of solutions **Requirements** * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline * At least 5 years of professional experience in data integration with a proven track record in building and maintaining data pipelines * Minimum of one year of experience leading and managing development teams * Advanced expertise in Python for data scripting, automation, and API integration * Strong proficiency in SQL and experience with modern data warehouses such as Redshift, Snowflake, or BigQuery * Practical experience in integrating internal systems with third\-party platforms * Familiarity with APIs and tools for data pipeline orchestration, such as Airflow, dbt, or AWS Glue * Strong problem\-solving abilities and the capability to collaborate effectively across technical and non\-technical teams * Hands\-on experience with cloud platforms like AWS, including their storage, compute, and data services * Fluent English communication skills (B2\+ level or higher), with experience in client\-facing roles to gather requirements and provide updates **Nice to have** * Experience working with e\-commerce platforms or transactional systems, particularly in managing large\-scale data operations * Familiarity with the unique challenges of e\-commerce data integration, including handling large datasets and optimizing performance