> Markdown version of [/jobs/ext/1269810-data-engineer](https://www.wearedevelopers.com/jobs/ext/1269810-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Spectris - **Location:** UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Architecture, Data Deduplication, Information Engineering, Data Hub, Database Development, Python (Programming Language), Microsoft Data Access Components, Operational Data Store, Power BI, Salesforce.Com, SAP (Applications), SQL Databases, Systems Integration, Enterprise Data Management, Large Language Models, Advanced Reports, Microsoft Fabric, Data Lineage, Enterprise Integration, Api Design, Data Pipelines - **Published:** July 15, 2026 - **Apply:** https://spectris.wd3.myworkdayjobs.com/Malvern_Panalytical_Careers/job/Home-Working-GB/Data-Engineer_18347 ## About the Role * Experience & Autonomy: 6+ years of hands-on data engineering experience, with a proven track record of owning end-to-end data architectures and production pipelines supporting operational (not just analytical) enterprise use cases. * Technical Stack Expertise: Deep expertise across the Microsoft data stack (Fabric, Dataverse, Power BI) alongside advanced Python and SQL development skills. * Integration Expertise: Proven experience integrating complex enterprise data from Salesforce and/or SAP, specifically utilizing modern API-based integration patterns. * Advanced AI Data Engineering: Direct experience designing data modeling/entity resolution frameworks across CRM/ERP domains, as well as designing context/retrieval layers (e.g., RAG systems) and feedback loops for AI/LLM applications. * Leadership & Stewardship: Proven ability to make independent architectural and tooling decisions, set technical standards for engineering teams, and ensure the absolute reliability of data feeding customer-facing AI agents. Leadership Behaviours. * Inspire Your People: Communicate a compelling technical vision, simplify complex architectural challenges, and plan for the long-term interest of the business. Bring positive energy, ambition, high integrity, and a proactive willingness to learn from setbacks. * Strengthen Your Team: Set a high bar for technical excellence, hold peers and collaborators accountable, and foster a growth mindset through coaching, mentoring, and active collaboration. ## Description As a Senior Data Engineer within our Commercial Digital AI & Automation team, you will design, own, and scale the data foundation powering our next-generation, AI-driven commercial workflows. You will serve as the technical authority for our data architecture, designing and implementing highly reliable data pipelines from key CRM and ERP sources. In this role, you will architect the governed context layer that grounds AI agents in accurate business data, establish intelligent feedback loops to drive continuous learning, and deliver the advanced analytical products needed to measure agent performance and commercial outcomes. Key Responsibilities: * Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products. Lead the technical implementation utilizing Microsoft Fabric, Dataverse, Python, and SQL. * AI Context Management: Design and own the context layer for AI agents. Deliver curated, versioned data products with strict data contracts, entity resolution, and optimized retrieval interfaces to ground LLM/AI outputs. * Intelligent Feedback Loops: Establish sophisticated feedback systems to capture agent outcomes, human corrections, and downstream results, seamlessly feeding them back into data products, prioritization models, and scoring logic. * Advanced Reporting & Analytics: Oversee the delivery of robust Power BI dashboards, semantic models, and datasets covering critical agent performance, pipeline/funnel metrics, and data quality. * Data Quality, Governance & Security: Set the standards for and implement robust data-quality frameworks (completeness monitoring, deduplication, entity resolution, and source reconciliation). Define and enforce data lineage, access controls, retention, and compliance protocols in close partnership with IT and data owners. * Integration Evolution: Drive the modernization of our data landscape by transitioning legacy, file/export-based flows toward secure, modern, API-based, in-perimeter integration patterns. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PoC “Austria Experience Data Hub”](https://www.wearedevelopers.com/videos/92-poc-austria-experience-data-hub) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [100 million days in Vienna: A story of APIs & AI in tourism.](https://www.wearedevelopers.com/videos/93-100-million-days-in-vienna-a-story-of-apis-ai-in-tourism) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)