More jobs:
Data engineer
Job in
Bristol, Washington County, Virginia, 24202, USA
Listed on 2026-03-02
Listing for:
Knovia
Full Time
position Listed on 2026-03-02
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager
Job Description & How to Apply Below
Knovia Group is building a next-generation data platform to power intelligent automation, AI-enabled services, and real-time insight across our organisation.
We are looking for an experienced Data Engineer to design, develop, and maintain the scalable data infrastructure that underpins our transformation. You will integrate disparate systems, modernise architecture, and help establish a secure, future-proof data platform that turns data into a strategic asset.
This is an opportunity to play a pivotal role in delivering Knovia’s mission to ensure AI leaves no one behind, with key role responsibilities including:
Data Engineering- Design, build, and maintain scalable ETL/ELT pipelines from multiple internal and external sources
- Develop reliable batch and streaming data ingestion processes
- Build and manage data warehouses, data lakes, and lakehouse architectures
- Implement automated data quality frameworks, testing, monitoring, and alerting
- Optimise performance, scalability, and cost-efficiency across the data platform
- Ensure infrastructure supports analytics, automation, and AI workloads
- Contribute to the design and evolution of modern, cloud-based data architectures
- Apply best-practice data modelling (dimensional, relational, semantic, data vault where appropriate)
- Participate in architectural reviews and technical road mapping
- Lead proof-of-concept initiatives for new tools, frameworks, and cloud-native services
- Document architecture, data flows, and technical decisions
- Embed strong data governance practices
- Implement metadata management, cataloguing, and lineage tracking
- Support GDPR, data protection, retention, and access control requirements
- Champion security, privacy, and data ethics best practices
- Work cross-functionally with Engineering, IT, Analytics, and AI teams
- Partner with Integration & Automation Specialists to build APIs and event-driven pipelines
- Translate business requirements into scalable technical solutions
- Contribute to a collaborative engineering culture (code reviews, knowledge sharing)
You can see more about this fantastic opportunity with the job description attached.
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