Data Engineer

STI Limited
Hook
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

This role is essential in our Front End activity, quality of our products as well as OTD (On Time Delivery) on the shop floor. As the Product Data Management Engineer , you will be supporting the Company’s requirements for data management and standardisation, supporting configuration change management on all versions of the products, preparing engineering data outputs for downstream processes and manipulating the product structure of BOMs and product data. You will be an expert in the use of engineering software tools for BOM and data standardisation, DFx, MES and ERP. The Product Data Management Engineer role will involve: BOM and Product Data Standardisation into STI format (PCBA and Box Build) Supporting quote activities by detailed analyses of customer requirements (AV) Converting customer BOMs into STI BOM format and loading into ERP Product configuration in ERP and MES Providing effective change management understanding in EPR and MES Engineering customers’ data into STI Format and creating outputs for downstream processes Creating program outputs for production and test equipment (SMT…) Carrying out all PDM tasks Documenting all PDM Processes Supporting Engineering department during NPI activities and implementation of new systems Document control Maintaining full configuration control through product life cycle For this role you will need: Previous experience in Product Data Management Experience of working in the electronics manufacturing environment Knowledge of engineering systems for BOM and PCB/PCBA data standardisation Understanding of DFx rules Ability to read and understand BOM and Product Data to prepare quote and engineer a product Working experience with SMT equipment is desirable Understanding of electronics components and be able to find alternative parts Understanding of continuous improvement principles Knowledge of engineering systems like BOM Connector, Valor Process Preparation, SiplacePro, Aegis Factory Logix and Epicor (or equivalent) is an advantages Experience with PLM (Siemens Teamcenter) is an advantages If you feel you have the skills and experience to become our Product Data Management Engineer, please click ‘apply’ today, we’d love to hear from you We offer 23 days holiday (plus Bank Holidays & Flex Days), early finish on a Friday, Flexible working opportunities, Company Pension Scheme, Health Cash Back Scheme, a range of discounts and excellent training and development opportunities. We also pay for professional memberships on a case-by-case basis. A full job description is available on request. The ability to achieve UK security clearance may be required for some roles. All applicants should have the Right to Work in the UK, as we are unable to offer sponsorship for this role.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.