Non-Smoking Account Admin Clerk

Position: Baker (Filipino Nationality – Gas Oven Experience Preferred) ⸻ Job Requirements: • Minimum 2 years of experience in baking or working in bakeries/restaurants • Skilled in preparing and handling dough daily • Experience with gas ovens is an advantage • Clean, organized, and disciplined work habits • Punctual and reliable ⸻ Benefits: • Competitive salary (based on experience) • Accommodation or housing allowance • Visa & medical insurance provided • One meal per shift • Friendly and professional work environment • Career growth opportunities

Key Responsibilities: 1. Develop and implement effective sales strategies to achieve monthly and annual targets. 2. Conduct outdoor client visits, build relationships, and secure corporate deals. 3. Identify new business opportunities and partnerships within the automotive sector. 4. Maintain excellent customer relations and ensure a high level of client satisfaction. 5. Prepare sales reports, forecasts, and market analysis. Requirements: 1. Proven sales experience (Car Detailing / Automotive industry preferred). 2. Strong communication, negotiation, and customer service skills. 3. Must hold a valid UAE driver’s license. 4. Smart, professional appearance with a flexible and proactive approach. 5. Ability to manage both indoor and outdoor sales independently. 6. Fluency in Arabic & English

We're Hiring: Power BI Specialist / Data Analyst (AI-Driven Data Management Focus – Hybrid Work) Location: Dubai (Hybrid – Work from home & office) Job Type: Full-Time Are you passionate about transforming raw real estate data into actionable insights? Do you excel at leveraging Power BI, AI tools, and advanced analytics to uncover market trends, forecast challenges, and drive brokerage decisions in a dynamic environment? We’re seeking a Power BI Specialist / Data Analyst to manage and analyze data from Dubai's real estate market, including property listings, sales transactions, rental yields, investor behaviors, and market research from sources like Bayut and Property Finder. This role is crucial for interpreting data, identifying trends such as the 8-12% growth in prime residential segments and off-plan booms, and addressing challenges like potential supply surges (up to 210,000 units in 2025-2026) and price moderations, while embracing future trends in sustainable developments, PropTech integrations, and smart home analytics. Advanced Power BI expertise and AI-driven tools are essential for handling large datasets and providing predictive insights in this thriving yet volatile market. What You’ll Do: • Analyze large datasets from real estate sources (e.g., sales volumes, rental trends, investor surveys) to spot patterns like rising demand in luxury and affordable segments amid limited supply in 2025. • Clean, validate, and structure data using AI-powered tools for automation, error detection, and enrichment to ensure accuracy in forecasting challenges like delivery peaks and potential 5-10% price corrections. • Build advanced Power BI dashboards with AI features (e.g., anomaly detection, key influencers, natural language querying) for interactive reporting on market trends, such as off-plan investments and sustainable property growth. • Generate visual summaries, predictive trend analyses, and actionable recommendations using AI for scenario modeling (e.g., impacts of global interest rates on borrowing and market stability). • Collaborate with brokerage and strategy teams to align data needs with future PropTech trends, like AI valuations and smart city integrations. • Assist in quality checks, data integrity, and AI-automated workflows throughout the analysis process to support resilient decision-making in a market projected for stable returns through 2025. What We’re Looking For: • Proven experience as a Power BI Specialist or Data Analyst (preferably in real estate, PropTech, or market analytics environments). • Mastery of Power BI for AI-enhanced visualization, data modeling (DAX, Power Query), and integrations; advanced Excel skills are a must – pivot tables, nested formulas, data visualization, error tracing, VBA is a plus. • Expertise in AI-driven tools for data management, cleaning, and analysis, such as Azure AI for predictive modeling, Python/R in Power BI for custom ML, anomaly detection tools for market shifts, and PropTech-specific platforms (e.g., for valuation and trend tracking) to address Dubai's challenges like supply surges and interest rate impacts. • Strong analytical thinking, attention to detail, and knowledge of Dubai's real estate ecosystem, including current trends (e.g., strong Q2 2025 growth, luxury boom, affordable housing focus) and future challenges (e.g., 2026 delivery peaks, moderation in price growth). • Ability to work with large datasets, draw insights on investor trends (e.g., foreign demand from global sources), and forecast opportunities in sustainable and tech-integrated properties. • Comfortable working independently in a hybrid setup (home and office); experience with SPSS, Tableau, or GIS tools for location-based real estate analytics is a plus. What We Offer: • Flexible hybrid working model. • Exposure to diverse real estate projects in Dubai's booming market. • Opportunity to influence brokerage decisions with AI-driven, data-backed insights. • Collaborative and supportive team environment. • Room to grow within a dynamic, agile brokerage firm. Ready to apply? Send your CV and a brief note highlighting your Power BI and AI tool experience. Note: Only apply if you have advanced Power BI and Excel skills. Shortlisted candidates will sit for a skills assessment in Power BI and data analysis. or send What'sapp +971551045207 for google meet to fix an appointment for online interview.

Location: Onsite (Work from Office is mandatory all days) Experience: Minimum 6 years Industry: Preferably Banking or Large Organizations Role Overview: The Oracle DBA + Automation Engineer will be responsible for supporting technology projects by managing Oracle databases and automating routine DBA tasks using modern DevOps tools. The ideal candidate should be highly proficient in Oracle database administration and comfortable working in high-pressure environments across multiple projects. Out-of-hours and weekend availability may occasionally be required. Key Responsibilities: Administer and support Oracle databases in production and non-production environments. Design and implement Oracle Real Application Clusters (RAC) and Dataguard. Perform Oracle database patching, backup & recovery using RMAN. Monitor, optimize, and tune performance of Oracle databases. Manage and automate database tasks using Ansible, Jenkins, Terraform, and Groovy. Migrate databases between environments including on-premise to Oracle Cloud Infrastructure (OCI) and AWS. Utilize Oracle Enterprise Manager (OEM) for comprehensive database monitoring. Contribute to automation initiatives, reducing manual efforts in DBA operations. Work in Agile teams and deliver in iterative development models. Required Qualifications: Education: Bachelor’s degree or higher in Computer Science – Essential Relevant industry certifications – Desirable Experience: 6+ years in Oracle database administration within large organizations – Essential Previous experience in banking or financial services – Desirable Technical Skills – Must Have: Oracle DBA (Administration, Backup/Recovery, Patching) Oracle RAC & Dataguard Oracle Cloud Infrastructure (OCI) and AWS Oracle Enterprise Manager (OEM) RMAN (Recovery Manager) SQL and PL/SQL Unix/Linux OS Agile methodology Ansible and Git Bash or Python scripting Technical Skills – Good to Have: Jenkins and Groovy scripting Terraform Other databases (e.g., MySQL, PostgreSQL, etc.) Behavioural Competencies: Ability to work effectively under pressure Strong professional and communication skills Ability to self-manage tasks and time Comfort with managing multiple concurrent projects

We're Hiring: Data Analyst (Market Research Focus – Hybrid Work) Location: Dubai (Hybrid – Work from home & office) Job Type: Full-Time Are you passionate about turning raw data into actionable insights? Do you love diving into Excel and making sense of numbers, trends, and consumer behavior? We’re looking for a Data Analyst to support our work with market research data collected from the fieldworkers in the market. This role is key to helping us interpret data, spot meaningful trends, and support business decisions — and advanced strong Excel skills are absolutely essential. What You’ll Do: • Analyze large datasets from market research studies (quantitative consumer surveys) • Clean, validate, and structure data for reporting and insight generation • Build advanced Excel dashboards, pivot tables, and formulas for regular reporting • Generate visual summaries, trend analyses, and actionable recommendations • Collaborate with research and strategy teams to understand data needs • Assist in quality checks and data integrity throughout the reporting process. What We’re Looking For: • Proven experience as a Data Analyst (preferably in market research, FMCG, or agency environments) • Advanced Excel skills are a must – pivot tables, nested formulas, data visualization, error tracing, VBA is a plus • Strong analytical thinking and attention to detail • Ability to work with large datasets and draw meaningful insights • Comfortable working independently in a hybrid setup (home and office) • Experience with SPSS, Power BI, or other analysis tools is a plus. What We Offer: • Flexible hybrid working model • Exposure to diverse market research projects • Opportunity to influence decision-making with data-driven insights • Collaborative and supportive team environment • Room to grow within a small, agile company. Ready to apply? Send your CV and a brief note highlighting your Excel experience. Note: only apply if you have advanced Excel skills. Shortlisted candidates will sit for an advanced Excel skills assessment.

Machine Learning Operations (ML/Ops) Engineer - Team Lead Location / Work Setup: Remote About Us: We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client's ML infrastructure. Key Responsibilities: Lead a team of ML/Ops engineers in deploying and managing Machine Learning models. Build and enhance capabilities to seamlessly integrate ML models into existing pipelines. Collaborate with cross-functional teams to understand project requirements and ensure successful deployment. Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency. Utilize Python for scripting and automation tasks. Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows. Requirements For Team Lead Position: At least 3 years of experience in ML/Ops or a related field. Proven leadership skills with the ability to guide and inspire a team. Excellent communication skills to effectively liaise with clients and internal teams. For ML/Ops Engineer Position: Strong experience in deploying Machine Learning models. Proficiency in Python for scripting and automation. Hands-on experience with Cloud platforms, particularly Azure and GCP. Prior experience in addressing scalability and pricing concerns in ML operations. How to Apply: If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations. Note: This is a unique opportunity to make a significant impact on a client's ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.