At a Glance
- Tasks: Design and scale data pipelines for AI-driven commercial workflows.
- Company: Join a leading tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Be part of a diverse team committed to sustainability and customer success.
- Why this job: Make a real impact by shaping the future of AI and data architecture.
- Qualifications: 6+ years in data engineering with expertise in Microsoft stack and Python.
The predicted salary is between 60000 - 80000 £ per year.
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.
Data Engineer employer: Malvern Panalytical
Malvern Panalytical is an excellent employer, offering a dynamic and inclusive work culture that values innovation and collaboration. As a Senior Azure Cloud Architect, you will have access to continuous professional development opportunities, enabling you to grow your skills in a supportive environment. With the flexibility of remote work in the UK, you can enjoy a healthy work-life balance while contributing to impactful projects in cloud technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Malvern Panalytical!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Malvern Panalytical.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Malvern Panalytical.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Malvern Panalytical, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Malvern Panalytical, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Malvern Panalytical. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Malvern Panalytical
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Malvern Panalytical!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
