Pinewood.AI is looking for a skilled and experienced Data Engineer to help shape the future of data solutions in the automotive technology space. In this role, you'll be instrumental in developing scalable, modern data infrastructure that supports our global Automotive Intelligence Platform - the system that powers thousands of dealerships worldwide.
You'll take ownership of the full data lifecycle, from extracting and transforming data to optimising performance and developing secure, scalable storage solutions. If you're passionate about building clean, robust cloud-based pipelines, working with large and complex datasets, and applying the latest technologies (including AI features), this is the role for you.
Key Responsibilities:
Build and maintain a unified data platform that ingests and processes global data from across our Automotive Intelligence Platform.
Develop scalable and reusable data solutions with a strong emphasis on componentisation.
Optimise the performance and reliability of data pipelines, ensuring fast access to large datasets.
Collaborate with the data visualisation team to align back-end processing with front-end reporting.
Design and implement secure, flexible data access models for internal and external users.
Use bespoke pipelines and Azure Data Factory to incorporate 3rd party external data sources.
Establish unit and integration testing practices and support CI/CD processes for data pipelines.
Identify and resolve bottlenecks or performance issues across the data stack.
Investigate and address platform support tickets related to data.
Enable multi-language capabilities within the platform's data presentation layer.
Explore and integrate AI capabilities to boost data productivity and accuracy.
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