Job
Description
Future-Able is looking for a Data Engineer, a full-time contract role, to work for: Naked & Thriving - An organic, botanical skincare brand committed to creating high-performing, naturally derived products that are as kind to the planet as they are to your skin. Our mission is to empower individuals to embrace sustainable self-care while nurturing their natural beauty. Every product we craft reflects our dedication to sustainability, quality, and transparency, ensuring our customers feel confident with every choice they make. As we rapidly grow and expand into new categories, channels, and countries, customer satisfaction remains our top priority. Job Summary: We are seeking a Data Engineer with expertise in Python, exposure to AI & Machine Learning, and a strong understanding of eCommerce analytics to design, develop, and optimize data pipelines. The ideal candidate will work on Google Cloud infrastructure, enabling advanced insights using Google Analytics (GA4). What You Will Do: ● Develop & maintain scalable data pipelines to support analytics and AI-driven models. ● Work with Python (or equivalent programming language) for data processing and transformation. ● Implement AI & Machine Learning techniques for predictive analytics and automation. ● Optimize eCommerce data insights using GA4 and Google Analytics to drive business decisions. ● Build cloud-based data infrastructure leveraging Google Cloud services like BigQuery, Pub/Sub, and Dataflow. ● Ensure data integrity and governance across structured and unstructured datasets. ● Collaborate with cross-functional teams including product managers, analysts, and marketing professionals. ● Monitor & troubleshoot data pipelines to ensure smooth operation and performance. We are looking for: ● Proficiency in Python or a similar language (e.g., Scala). ● Experience with eCommerce analytics and tracking frameworks. ● Expertise in Google Analytics & GA4 for data-driven insights. ● Knowledge of Google Cloud Platform (GCP), including BigQuery, Cloud Functions, and Dataflow. ● Experience in designing, building, and optimizing data pipelines using ETL frameworks. ● Familiarity with data warehousing concepts and SQL-based query optimization. ● Strong problem-solving and communication skills in a fast-paced environment. What will make you stand out: ● Experience with event-driven architecture for real-time data processing. ● Understanding of marketing analytics and attribution modeling. ● Previous work in a high-growth eCommerce environment. ● Exposure of AI & Machine Learning concepts and model deployment. Benefits: ● USD Salary. ● Fully Remote Work. ● USD 50 for health insurance payment. ● 30 days of pay time off per year. ● The possibility of being selected for annual bonuses based on business performance and personal achievements. Show more Show less
