Data Architect

Scopeworker, LLC; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading SaaS provider in London seeks an experienced Data Architect to innovate and build scalable data solutions. Candidates should have over 7 years of experience in data management, expertise in AWS, and strong communication skills. This role is crucial for supporting real-time business intelligence for Fortune 100 clients, encompassing the entire data pipeline process.

Qualifications

• 7+ years of experience working with massive data.
• Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization.
• Excellent communication skills with a good working proficiency in verbal and written English.

Responsibilities

• Innovate, design, build and automate scalable solutions for massive datasets.
• Lead big data challenges in an agile way.
• Build data models to deliver insightful analytics while ensuring data integrity.

Skills

Public cloud (AWS)

ETL Process

SQL

Python

Spark

Kafka

Data Acquisition

Data Processing

Education

Bachelor's or Master's degree in Computer Science, Mathematics

Job description

Overview

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 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.

Responsibilities

• As a Data Architect, design, build and automate scalable solutions for massive data sets and real-time processes, bringing software engineering practices to data processing and data pipeline development.
• Lead big data challenges in an agile environment and build data models to deliver insightful analytics while ensuring the highest standard of data integrity.
• Develop and maintain robust data pipelines to support 24x7 business operations and enable systems, tools, dashboards and data analysts to surface business insights and opportunities.
• Work closely with data engineers, analysts and stakeholders to surface actionable business intelligence in real time for Fortune 100 users.

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 processes is mandatory
• Experience 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 good working proficiency in verbal and written English

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting
• Location: London, England, United Kingdom