At a Glance
- Tasks: Build Power Apps, learn ERP, and develop data platforms using Power BI/Fabric.
- Company: Join a forward-thinking company focused on data engineering and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and real-world impact.
- Why this job: Be part of a team that shapes the future of data solutions and technology.
- Qualifications: Willingness to learn, experience with Power BI, and basic SQL knowledge.
The predicted salary is between 45000 - 55000 £ per year.
Data and Support Engineer who can build Power Apps, learn ERP (Enterprise Resource Planning), and help move toward a data platform using Power BI/Fabric. Not expecting this person to be proficient in all areas but be willing to learn.
- Power Platform, Fabric & Data Modelling
- Power BI (data modelling, DAX fundamentals)
- Power Query / ETL thinking
- Familiarity with Microsoft Fabric or modern data platforms
- Application Development (Internal + Customer-Facing)
- Power Apps (Canvas + Dataverse) or equivalent low-code platform
- REST API integration mindset
- UX pragmatism (build usable tools, not demos)
- Understanding of security boundaries (internal vs customer apps)
- Epicor / ERP + Manufacturing Systems Capability (ideally)
- Epicor (or similar ERP) experience very useful: BAQs, REST/API, upgrades
- SQL literacy (views, joins, performance awareness)
- Understanding of manufacturing concepts: BOMs, routings, work centres
- Ability to extract ERP data cleanly for reporting & forecasting
- Support IT Operations
- Windows Server / Microsoft 365 / Azure AD troubleshooting
- Confident owning escalations (not just passing tickets)
- Fortinet Firewall
- Comfortable managing MSPs: SLAs, ticket quality
- Cyber Security & Risk Reduction
- Baseline cyber frameworks (Cyber Essentials / ISO-aware)
- Microsoft security stack familiarity (Defender, MFA, Conditional Access)
- Patch management & vulnerability awareness
- Can implement controls
- Process, Documentation & Knowledge Capture
- Comfortable documenting systems and processes
Locations
Senior Engineer, Data Engineering in Isle of Wight, Newport employer: Manufacturing Recruitment Ltd
As a Senior Engineer in Data Engineering, you will thrive in a dynamic work environment that champions innovation and continuous learning. Our company offers robust employee growth opportunities, a collaborative culture, and the chance to work with cutting-edge technologies like Power BI and Microsoft Fabric. Located in a vibrant area, we provide a supportive atmosphere where your contributions are valued, and you can make a meaningful impact on our data platform initiatives.
Contact Details:
Manufacturing Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Isle of Wight, Newport
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We think you need these skills to ace Senior Engineer, Data Engineering in Isle of Wight, Newport
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!
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How to prepare for a job interview at Manufacturing Recruitment Ltd
✨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!
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✨Get Comfortable with Python and R
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✨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.
