- Design, implement and document the data model
- Design, implement and document technical architecture in alignment with the data model
- Ensure that data model and architecture are aligned with existing and future business needs
- Maintain and further develop the data model and technical architecture over time
- Design and Implement an efficient and reliable data platform for ingestion, storage, management and processing of data for AI purposes
- Build and/or setup technical systems and infrastructure to ingest, store, manage and process large amounts of data
- Design and implement digital solutions and services to provide data for AI purposes (pipelines)
- Document implemented solutions
- Operate implemented solutions
- Advise on make or buy decisions for the Head of Data Ai on required technical resources (systems, licenses, services)
- Data modeling
- Software development
- System architecture
- Data processing
- Serverless services and solutions
- Proven record of delivering complex data engineering projects
- Extensive knowledge of data ingestion, storage, processing and pipelining
- Excellent understanding of data pipelines and automation
- Good knowledge about principal application of AI
- Software development and data engineering related education
- Collaboration – builds & maintains effective relationships within own function as well as across departments. Collaborates within teams to achieve goals. Team player with 'can-do' attitude.
- Internal customer focus – always focuses on high attention to detail & demonstrates accuracy in their work with the end user/customer in mind.
- Communication – ensures communication has a clear purpose, is factual, accurate & provided at the right time. Proactively shares information with colleagues & stakeholders. Excellent written communication skills for report writing & concerns raising. Able to verbally communicate at all levels.
- Commitment – takes ownership of objectives, work activities & behaviour, & makes informed decisions backed by data. Commits to deadlines & achieving milestones. Strong time management, ability to balance and prioritise multiple tasks to meet customer/business needs.
- Continuously challenge & improve – takes initiative & uses data to challenge traditional ways of thinking & improve processes & working practices.
- Competent in Microsoft Office toolset.
- Excellent communication and influencing skills at all levels
- Confident presenter
- Analytical and data driven
- Strategic thinking
- Excellent documentation skills
- Must be able to work collaboratively with a cross-functional team.
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Data Engineer Architecture - Gaydon, United Kingdom - Aston Martin
Description
Job Purpose:
To define, prototype and implement AI enabling data modelling and data architecture. Lead and hands-on implement the defined solutions to enable AI within Aston Martin Lagonda.
Key Duties & Responsibilities:
Qualification & Experience:
Behaviours:
Skills:
Belong at Aston Martin
We understand that the incredible beauty, craft and art that defines an Aston Martin comes from the inclusion of our amazing people.
We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. We celebrate diversity and are seeking applicants who can bring something different.
