Data Engineer (Junior, Mid, Senior)

at  Corsearch

Do you get excited when hearing about trademarks and brand protection news? YES?! So do we! At Corsearch, there’s no pushing trademark solutions and brand protection from our thoughts. We’re thinking about coined trademarks in the car, a detailed design search over lunch, counterfeits while sitting with the in-laws, and anti-piracy while working out
We are a mission-led company, driven by a passion for making the world better and safer for our brand customers and their consumers. It’s what we do. And people come to Corsearch to be challenged, developed, supported, and valued

THE ROLE

Technology at Corsearch currently consists of Engineering and Data Science functions, with nearly 200 people globally, aligned to Trademark Solutions or Online Brand Protection Business Units.
Trademark Solutions acquires data from 200 jurisdictions globally by means of data feeds, web crawling and publications/gazettes. The master data system ingests, enriches and stores data in order to support a complex ecosystem of platforms which underpin Corsearch’s managed search, screening & watch services.
The current master data system (“DMS”) is based on C#, MS SQL and MySQL. Corsearch is looking to recruit a new team to build out & transition to a replacement platform using managed services in the cloud.
The ideal candidate will have had prior experience with traditional database-driven software in .Net and Microsoft SQL and more recent experience with modern cloud Data Warehouse, Data Lake and ETL platforms.

We currently have roles available for:

• Junior
• Mid Level
• Senior

RESPONSIBILITIES AND DUTIES

• Assist in establishing the vision and delivering a future master data, ingestion & analytics platform for Trademark Solutions, based on scalable cloud technologies
• Transition data flows and dependencies from the legacy DMS to the new cloud data platform in order to enable DMS to be decomissioned
• Integrate machine learning into the data pipelines in order to enrich the data
• Increase levels of automation
• Establish monitoring and measurement of data quality & ingestion processes
• Ensure a well-designed data model where changes are managed and coordinated across the system
• Establish Continuous Integration, Delivery and Deployment pipelines, Infrastructure as code and Zero-downtime release processes
• Deliver quality code and create full documentation, including flowcharts, layouts, diagrams, charts, code comments and clear code, for all developed solutions