Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
Architect end-to-end solution for business analytics product (dashboards or statistical model) from the acquiring of data, contextualizing data for business analytics and integrating of product with business process
Contribute to Proof of Concept using best-of-breed technology and identifying capability gaps in Analytics and Cloud product capabilities and designing solutions to address it.
Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
We are implementing a new Data Platform where data from multiple operating systems is aggregated and transformed to answer strategic business questions. You will join a high-performing, multi-disciplinary research division whose work impacts policy and operations, and you will lead the engineering behind that platform.
Nas.com helps entrepreneurs launch and grow an online business from one platform, from creating a storefront and marketing content to reaching customers and accepting payments globally.
Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
When making important decisions, we identify overarching goals, weigh up our options, identify impact, and clearly communicate and manage the risks and trade-offs of our decision.
As Senior Manager responsible for data governance and standards, you will drive the development of the governance frameworks, data standards, and partnership agreements that underpin the NLR's integrity and trustworthiness as a national lifestyle data platform.
As Assistant Director leading a team of data engineers, you will provide strategic leadership and technical direction across the full lifecycle of the NLR — from architecture and governance to data partnerships, distilling business needs and engineering delivery.
Design and maintain scalable data models (tables, relationships, hierarchies, history handling) on Databricks using Delta Lake and Lakehouse architecture.