Qualifications Bachelor's or Master’s degree in Computer Science, Mathematics or similar field (PhDs will be given preference) 7 years of experience working with massive data Strong knowledge of public cloud (AWS) Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization Proficiency in ETL process is mandatory Experienced building components for enterprise central data platforms (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries) Hands-on experience with SQL, Python, Spark, Kafka Excellent communication skills, including a good working proficiency in verbal and written English About this Job Scopeworker Business Intelligence real time processes enterprise customer data. We develop and maintain robust and reliable data pipelines to support 24x7 business operations and enable systems, tools, dashboards and data analysts to surface business insights and opportunities. This actionable business intelligence is provided in real time to our Fortune 100 users from data engineers, to analysts and C-Level stakeholders. As a Data Architect, you'll innovate, design, build and automate, scalable solutions, massive data sets and bring software engineering experience to the complex process of data processing and data pipeline development. You will lead big data challenges in an agile way and build data models to deliver insightful analytics while ensuring the highest standard of data integrity. About Scopeworker Scopeworker is an enterprise SaaS. It automates the Procure-Execute-Pay lifecycle of complex supplier services. This enables an 'Uber' style marketplace for enterprise and a live business intelligence that is truly unique. Scopeworker can be used as a standalone platform or as a digitalization layer over the top of Oracle, SAP or Microsoft Dynamics ERPs. Scopeworker is used by the Fortune 100. See also our explainer video .