Data Engineer

Posted 2 Days Ago
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2 Locations
In-Office or Remote
Senior level
Hardware • Analytics • Industrial • Manufacturing
The Role
Design, build, and operate governed data pipelines and context layers for AI agents integrating Salesforce, SAP, and service data. Implement feedback loops, data-quality frameworks, semantic models, Power BI reporting, and secure API-based integrations to support enterprise commercial AI workflows.
Summary Generated by Built In

Role Purpose

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.

Role Requirements

•    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.

•    Grow Your Business: Implement data strategies that deliver tangible business results. Put customers at the heart of what you build, proactively optimize existing processes, and champion the Spectris Business Systems.

Company Values

•    Own It: We believe in teamwork, keeping promises, and building our brands together.

•    Aim High: We choose to be bold and positive to perform at our best and achieve greater success.

•    Be True: We act with absolute integrity to win for our stakeholders, the environment, and our colleagues.

About us - Malvern Panalytical, Micromeritics and SciAps. 
Together we are a powerful and highly complementary combination of market leading technologies. 

We are the toolmakers for the world's most innovative companies, academic institutions, and government laboratories. We are their partners in discovery.

Malvern Panalytical instruments analyze the chemical, physical and structural nature of materials, from proteins to polymers and semiconductors to minerals. Our leading technologies measure particle size, shape, concentration and zeta potential, biomolecular interactions and stability, elemental concentrations and crystallographic structure.

Micromeritics manufactures systems for the characterization of particles, powders, and porous materials for a wide- range of end markets including catalysts, chemicals, building materials, clean-tech and battery.  Our leading technologies measure surface area, porosity, density, adsorption and particle activity.

SciAps specializes in portable X-ray fluorescence (XRF), laser-based (LIBS) and near-infrared (NIR) analyzers to measure any element in any environment. SciAps is the Center of Excellence for our handheld instruments.
We have a global footprint with R&D and manufacturing sites in North America, Europe, and Asia.

We are more than 2,500 employees in a customer-focused organization with sales and service offices in 20 countries, all committed to delivering expert and responsive customer support.

We are part of Spectris. Spectris combines precision with purpose, delivering progress for a more sustainable world. Precision is at the heart of what we do – our leading, high-tech instruments and software equip our customers to solve some of their greatest challenges to make the world cleaner, healthier and more productive.

Malvern Panalytical, Micromeritics & SciAps
Your Partners in Discovery

Malvern Panalytical, Micromeritics and SciAps, part of the Spectris Group, are committed to a diverse and inclusive culture where everyone can thrive and achieve a fulfilling career. Changing the world isn’t something you can do on your own, or with a single way of thinking; it takes a wide collection of experiences, stories, knowledge, and expertise. We encourage applications from underrepresented individuals and people with diverse backgrounds. Although we always select the most qualified applicant for each role and make all decisions without regard to race, sex, age, or any other protected class, we are an inclusive, equal opportunity organization that prizes diversity. Your unique perspective is important to us.

Skills Required

  • 6+ years hands-on data engineering experience owning end-to-end production data architectures
  • Deep expertise across Microsoft data stack (Microsoft Fabric, Dataverse, Power BI)
  • Advanced Python development skills
  • Advanced SQL development skills
  • Proven experience integrating enterprise data from Salesforce and/or SAP using modern API-based patterns
  • Experience designing data modeling/entity resolution frameworks across CRM/ERP domains
  • Experience designing context/retrieval layers (e.g., RAG) and feedback loops for AI/LLM applications
  • Proven ability to make independent architectural and tooling decisions and set technical standards
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The Company
HQ: Egham
7,600 Employees
Year Founded: 1915

What We Do

Spectris harnesses the power of precision measurement to equip customers to make the world cleaner, healthier, and more productive. The company provides high-tech instruments, test equipment, and software for many of the world’s most technically demanding industrial applications.

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