Cabling Engineer
Unified Microsystems is seeking a Cabling Engineer to manage structured cabling and low current systems in Dubai. The role involves installing, terminating, and testing copper and fiber infrastructure alongside various ELV systems like CCTV and access control. You will be responsible for site surveys, material planning, and ensuring project compliance with safety standards. This is a hands-on technical installation role focused on delivering high-quality site work.
50k new jobs listed every day. Install TAL to find more jobs like this.

Experience
Experience not specified
Function
Engineering
Work mode
Onsite, United Arab Emirates
Company
Tier 2
What you will work on
Unified Microsystems is seeking a Cabling Engineer to manage structured cabling and low current systems in Dubai. The role involves installing, terminating, and testing copper and fiber infrastructure alongside various ELV systems like CCTV and access control. You will be responsible for site surveys, material planning, and ensuring project compliance with safety standards. This is a hands-on technical installation role focused on delivering high-quality site work.
TAL's take
Tier 2 company with a well-defined, specialized technical scope in infrastructure cabling and ELV systems.
The JD clearly outlines specific technical tasks related to cabling and ELV system installation.
Must haves
- Experience in structured cabling and low current systems
- Ability to install, terminate, test, and troubleshoot copper and fiber systems
- Knowledge of CCTV, access control, and AV systems
- Ability to perform site surveys and material planning
Tools and skills
About the company
unfamiliar company, default mid-tier
Posts mentioning Unified Microsystems
Title: Data Scientist (~2 YOE) – Built planning tools, pipelines, and AI system. Need honest feedback on profile.
Hi all, Looking for practical feedback on my profile before I start applying. I’ll keep this structured so it’s easier to evaluate. --- 1) Planning Tools / Web Applications Problem: Forecasting workflows were fragmented and heavily Excel-driven: - Multiple data sources (orders, shipments, different forecast versions) - Manual merging, lookups, and adjustments - No way to simulate scenarios or compare forecasts cleanly - Different planners using different methods → inconsistency What I built: - Two internal applications for planning workflows: - A planning tool integrating 8+ data sources - A forecasting simulator supporting multi-level editing (high → granular) Key capabilities: - Real-time scenario simulation - Side-by-side comparison of multiple forecast types - Hierarchical adjustments across levels - SQL write-back for persistence Scale: - Processes ~150K+ records per cycle - Used in monthly planning cycles by multiple teams Impact: - Removed fragmented Excel workflows - Enabled consistent decision-making across users - Reduced manual effort and improved visibility into forecast behavior --- 2) Automation & Data Pipelines Problem: Core workflows were manual and repetitive: - Multi-file Excel processing - Data cleaning + merging across systems - Version tracking errors - High effort per cycle (1–4 hours depending on workflow) What I built: - Multiple pipelines automating end-to-end workflows Examples: - Large-scale consolidation pipeline: - Input: ~1M+ rows across 20+ files - Output: clean, unified dataset (~75% reduction) - 2nd pipeline: - Replaced a 23-step manual process - Standardized inconsistent formats across datasets - 3rd automation processing: - Automated unpivoting, enrichment, and version tracking Impact: - Reduced processing time from hours → minutes per cycle - Eliminated manual errors (copy-paste, lookup mistakes) - Standardized workflows across users --- 3) Power BI / Monitoring Problem: Recent data (orders/shipments) showed inconsistencies, but: - No visibility into changes over time - Hard to identify where data drift was happening What I built: - Power BI dashboards with: - Hierarchical filters - Drill-down views - Month-over-month comparison Scale: - ~30K+ records analyzed Impact: - Enabled early detection of data inconsistencies - Helped planners validate inputs before forecasting - Improved trust in upstream data --- 4) Side Project (AI System) What I built: - AI-powered job assistant system Features: - Scrapes job postings - Scores relevance using LLMs - Generates tailored resume points and outreach messages - Tracks applications Tech: - FastAPI backend - LLM routing (cloud + local fallback) - SQLite storage Goal: - Build a system-driven workflow (not just model usage) --- My concern Most of my work sits at the intersection of: - forecasting - data systems - workflow automation I’m trying to move into: 👉 Applied Data Scientist / Product-oriented roles --- Questions 1. Does this profile look too niche (forecasting-heavy)? 2. Does “building systems around data” help or hurt for DS roles? 3. What’s the biggest gap you see (if any)? Would really appreciate honest feedback. Thanks.
Raising funds for my startup...
It's been 3 months Ig. Just came up with an idea to develop a unified trading platform with social trading for the Indian stock market. Yeah it may sound complex but it's just a normal stocks trading app but you have people to interact with when trading realtime. Just think like trading infused with social media so that users can share stats revenue profit and thoughts on stocks. Yeah at least better than trading lonely which I have experienced. I have developed a demo website and hosted it on vercel to pitch for investors. Frontend is ay no worry as I'm a frontend developer but backend and app development requires vast knowledge of different languages so we are looking for investors to contribute to our development in pre seed funding. Btw I'm situated in Bangalore. And we don't mind having members in our team. Please let me know if you guys can help us in any way. Can I really get funding for this prototype??
India's All-Party Delegation Takes Anti-Terrorism Stand Globally
- In an unprecedented move, a seven-member all-party delegation from India, including leaders like Shashi Tharoor and Eknath Shinde, is set to visit key nations to emphasize India's zero-tolerance policy against terrorism. - This diplomatic tour will cover influential countries, including the US, UK, UAE, South Africa, and Japan, aiming to strengthen India's global stance and project a unified political message. - Operation Sindoor, initiated after a deadly terror attack in Pahalgam, marks a significant shift in India's approach, showcasing its readiness to retaliate and redefine norms in combating terrorism. - India's diplomatic strategy now intertwines with domestic and international policies, underscoring that terror and diplomacy can't coexist, alongside a suspension of the Indus Water Treaty with Pakistan. - The effort is coordinated by Kiren Rijiju, with external affairs minister S. Jaishankar engaging with global leaders to bolster support, including Afghanistan's acting foreign minister condemning the Pahalgam attack. Source: [Livemint](https://www.livemint.com/news/india/shashi-tharoor-eknath-shinde-sevenn-all-party-delegations-brief-nations-on-india-pakistan-terrorism-operation-sindoor-11747457063884.html)