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Senior Data Engineer: Data Infrastructure at Constructor. About us. Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results.. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick.. Job Description. The Constructor Data Platform is a foundational component for all internal data and ML teams. It handles the ingestion of over 1 TB of compressed events daily and manages over 6 PB of data in our data lake.. The Data Platform:. . Is a comprehensive set of tools and infrastructure used daily by every data scientist and ML engineer in our company.. . Implements public-facing APIs for event ingestion (FastAPI) and real-time analytics (ClickHouse, Cube).. . Manages data storage in appropriate formats (S3, ClickHouse, Delta).. . Facilitates data processing using technologies such as Python, Spark/Databricks, ClickHouse, AWS Lambda, and Kinesis.. . Includes robust monitoring solutions (Prometheus, OpenTelemetry, PagerDuty, Sentry).. . Ensures automated testing of pipelines and data quality.. . Provides cost observability and optimization capabilities.. . Offers comprehensive tools for developers to develop, run, test, and schedule data pipelines, along with all necessary support and documentation.. . Our platform is developed by the Data Lake Team and the Data Infrastructure Team.. About the Data Infrastructure Team. We're hiring a Senior Data Engineer to work on our Data Infrastructure Team. This team is responsible for:. . Job scheduling and orchestration for data pipelines.. . Deployment and management of BI tools.. . Real-time analytics infrastructure (ClickHouse, AWS Lambda, Cube.js, and related tooling).. . Real-time log ingestion and processing, including data compliance.. . Core data services (e.g., Kubernetes, Ray, metadata services) and enterprise-wide observability solutions (based on ClickHouse and OpenTelemetry).. . We are seeking an engineer with at least 4 years of experience who possesses strong programming skills (ideally in Python), and expertise in big data engineering, web services, and cloud platforms (ideally AWS). We are looking for someone eager to build diverse components and drive the evolution of our platform while working closely with our users. Excellent English communication skills and robust computer science background is a strong requirement.. You will contribute to building various data platform components, actively incorporate user feedback, and proactively drive improvements. Here are some of the projects you may be involved with:. . Implement a real-time, cross-regional event processing solution, ingesting data into multiple data storage systems.. . Deploy OpenMetadata within Kubernetes for use by data pipelines.. . Design ClickHouse tables to store logs for company services and define a way to interact with them via Grafana.. . Company Location: Portugal.