DATA ENGINEER

🌍 Hello World! We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services. Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams. But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step. Project description: Our client is one of the largest e-commerce platforms in Europe, used by millions of users every day. The company connects sellers - from small businesses to global brands - with customers, offering a vast product selection, fast delivery, and a well-crafted shopping experience. The subject of the contract is the provision of professional support in the delivery of projects within the Delivery Experience area. The project focuses on critical services along the shopping journey, responsible for predicting delivery times using statistical algorithms and machine learning, selecting optimal delivery methods tailored to customers, and integrating with carrier companies. The role: • Developing and maintaining processes for handling large volumes of data using state of the art tooling like BigQuery, Airflow and dbt. • Streamlining and developing the data architecture that power analytical products and work along teams of experienced data engineers and analysts. • Helping drive adoption of AI in analytics, unlocking new possibilities on top of our data mesh. • Developing tooling for monitoring and enhancing the quality and integrity of the data. • Managing and optimizing costs related to our infrastructure and data processing.