project engineer

estimation engineer

planning engineer

technical support engineer

ai architect

data engineer

Brad Contech Solutions

<div>Location: Dubai (Onsite)

Experience: 4+ Yrs

Notice: Immediate Joiners Preferred
<h2 class="jobSectionHeader">
Technical Skills &amp; Qualifications</h2>
<ul><li>Minimum 4 years&rsquo; experience as a Business Analyst or BI Developer</li></ul>
<ul><li>Expert-level Power BI: data modelling, DAX, Power Query (M), RLS, workspaces, gateway management</li></ul>
<ul><li>Hands-on Power Automate: cloud flows, approval workflows, scheduled triggers, Microsoft 365 connectors</li></ul>
<ul><li>Proficiency in SQL for data extraction, transformation, and validation across relational databases</li></ul>
<ul><li>Experience extracting data from ERP or finance systems (Sage, SAP, Oracle, Dynamics, or similar)</li></ul>
<ul><li>Advanced Microsoft Excel: Power Query, pivot tables, dynamic arrays, data modelling</li></ul>
<ul><li>Experience with data from project management or PSA systems (Deltek, Project Online, or similar)</li></ul>
<ul><li>Strong data modelling skills: star schema, fact/dimension tables, relationship management</li></ul>
<ul><li>Ability to conduct requirements workshops and translate business needs into technical BI solutions</li></ul>
<ul><li>Bachelor&rsquo;s degree in Business, Information Systems, Computer Science, or related field</li></ul></div>

SQL & Power BI Data Engineer

GEMS Education

<div>
 
 Job Description
 
 
 
 Due to the continued success of our new school, GEMS Founders School &ndash; Dubai South, we are seeking to recruit a Data Executive available for next academic year August 2026.
 
 
 We are British Schools Overseas (BSO) accredited gaining Outstanding judgements in all standards, allowing us to offer the NQT, QTS and iPGCE programmes to our teachers through the TES Institute. GEMS Founders School, Dubai is truly unique and anyone who comes to work here has a wonderful opportunity to leave their mark. In line with our school vision, you will have the opportunity to Grow, Flourish and Succeed in everything you do at GFD.
 
 
 GEMS employees also have free access to our loyalty app GEMS rewards www.gemsrewards.com which provides significant savings on day-to-day life in the UAE. We offer thousands of discounts and 2 for 1 offers on everything from flights, hotels, restaurants and retail outlets, making your salary go further and enhancing the opportunity to save whilst working overseas.
 
 
 
 Skills
 
 
 
 Successful candidates will need to:
 
 
 <ul>
 <li>
 Embody and role model our core values of Grow, Flourish, Discover
 </li>
 <li>
 Hold a Bachelors degree in Computer Science
 </li>
 <li>
 2-3 years work experience in a similar role.
 </li>
 <li>
 A creative and enthusiastic approach, both inside and outside the classroom.
 </li>
 <li>
 Possess excellent interpersonal skills to work closely with colleagues, students and parents
 </li>
 <li>
 The Data Executive is required to have a good understanding of how the school works with experience in administration of data management systems.
 </li>
 <li>
 Be willing to make a positive contribution to our school community and culture through active engagement in our extra-curricular programme and community-based events.
 
 
 </li>
 </ul>
 
 GEMS Education is committed to safeguarding and promoting the welfare of all of its students and staff. A UK-enhanced DBS or equivalent police check is a pre-requisite for all appointments.
 
 
 
 Education
 
 
 Bachelor Degree
</div>

Data Executive

Rackspace Technology

<div>
 Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We&rsquo;ve evolved Fanatical Support to encompass the entire customer journey &mdash; providing Fanatical Experience&trade; from first consultation to daily operations. Our passionate experts combine the power of proactive, always-on service and expertise with best-in-class tools and automation to deliver technology when and how our customers need it.
 
 
 As a Data Modeler, you will design and deliver implementation-ready
 
 logical and physical data models
 
 within
 
 Azure Databricks (Delta Lake)
 
 following
 
 Medallion Architecture (Bronze, Silver, Gold)
 
 .
 
 
 The role ensures Data Engineers can immediately begin development with clear schema definitions, SQL structures, and zero ambiguity.
 
 
 
 Key Responsibilities
 
 
 
 
 
 Data Modelling &amp; Design
 
 
 
 
 <ul>
 <li>
 Develop Conceptual, Logical, and Physical Data Models.
 </li>
 <li>
 Define schemas, entities, attributes, relationships, keys, constraints, and data types.
 </li>
 <li>
 Provide DDL-ready SQL definitions for implementation.
 </li>
 <li>
 Clearly define fact table grain and dimensional structures.
 
 
 </li>
 </ul>
 
 
 Azure Databricks &ndash; Medallion Modelling
 
 
 
 
 <ul>
 <li>
 Design structured models across:
 </li>
 <li>
 Bronze Layer &ndash; Raw ingestion, schema control.
 </li>
 <li>
 Silver Layer &ndash; Cleansed, conformed, standardized data.
 </li>
 <li>
 Gold Layer &ndash; Business-ready dimensional models.
 </li>
 <li>
 Define transformation logic across layers (Bronze &rarr; Silver &rarr; Gold).
 </li>
 <li>
 Incorporate Delta Lake best practices (partitioning, performance, scalability).
 
 
 </li>
 </ul>
 
 
 Advanced Modelling Techniques
 
 
 
 .
 
 
 
 
 Requires Strong Hands-on Expertise In
 
 
 
 <ul>
 <li>
 3rd Normal Form (3NF)
 </li>
 <li>
 Star Schema
 </li>
 <li>
 Snowflake Schema
 </li>
 <li>
 Data Vault (Hubs, Links, Satellites)
 
 
 </li>
 </ul>
 
 Must Clearly Define
 
 
 
 <ul>
 <li>
 Fact grain
 </li>
 <li>
 Surrogate key strategy
 </li>
 <li>
 Slowly Changing Dimensions (Type 1 &amp; 2)
 </li>
 <li>
 Conformed dimensions
 </li>
 <li>
 Aggregation strategy
 
 
 </li>
 </ul>
 
 
 Engineering &amp; Governance Alignment
 
 
 
 
 <ul>
 <li>
 Ensure models are build-ready for Data Engineering teams.
 </li>
 <li>
 Review implementation alignment with design.
 </li>
 <li>
 Maintain ER diagrams, data dictionary, mapping documents.
 </li>
 <li>
 Enforce enterprise naming standards and modelling best practices.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5+ years of hands-on Data Modelling experience.
 </li>
 <li>
 Strong SQL (DDL, partitioning, performance concepts).
 </li>
 <li>
 Proven experience in Azure Databricks and Delta Lake environments.
 </li>
 <li>
 Deep understanding of Medallion Architecture.
 </li>
 <li>
 Experience in enterprise Data Warehouse or Modern Data Platform projects.
 </li>
 <li>
 Proficiency with data modelling tools (ERwin, ER Studio,
 </li>
 <li>
 PowerDesigner, Lucidchart, or similar).
 
 
 </li>
 </ul>
 
 About Rackspace Technology
 
 
 
 We are the multicloud solutions experts. We combine our expertise with the world&rsquo;s leading technologies &mdash; across applications, data and security &mdash; to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
 
 
 
 More on Rackspace Technology
 
 
 
 Though we&rsquo;re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
</div>

Data Modeler

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build:
In this role, you'll turn data into decisions by identifying high-value business problems, framing them analytically, and delivering models and insights that improve customer outcomes and product performance. You'll work across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning, while partnering closely with product, engineering, sales, operations, or finance stakeholders. Your work will not stop at model accuracy: you'll define success metrics, quantify impact, translate findings into business actions, and help teams prioritize based on value, risk, and feasibility. You&rsquo;ll also contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows for summarization, classification, knowledge extraction, and decision support. The role requires someone who can connect business context with rigorous analysis, explain trade-offs clearly, and influence roadmap decisions with evidence.
What you bring:<ul><li>
Strong command of Python and SQL for data extraction, statistical analysis, feature engineering, model development, and analytical automation</li><li>
You have a deep understanding of statistics and probability, including hypothesis testing, experiment design, A/B testing, regression, causal thinking, and interpreting uncertainty</li><li>
You have hands-on experience with a range of machine learning techniques, such as classification, forecasting, clustering, recommendation systems, anomaly detection, and propensity modeling</li><li>
You are skilled at framing business problems into measurable analytical questions, defining success metrics, and connecting model outputs to commercial or operational decisions</li><li>
You excel at building clear data narratives through dashboards, visualizations, presentations, and concise executive communication</li><li>
You demonstrate practical expertise in feature selection, model validation, error analysis, bias identification, and balancing trade-offs between accuracy and usability</li><li>
You have exposure to modern AI approaches, including NLP, generative AI, and LLM-assisted analytics (e.g., semantic search, text classification, summarization, prompt-based analysis)</li><li>
You are experienced with modern analytics and data platforms, such as notebooks, BI tools, cloud data warehouses, Spark, and large-scale data processing environments</li><li>
You have a strong understanding of data quality, lineage, governance, and the discipline required to produce trustworthy and reusable analyses</li></ul>
About You<ul><li>
6+ years of data science experience</li><li>
You are curious and bring a structured approach to problem-solving, with the ability to break down complex challenges into clear, actionable steps</li><li>
You are a strong collaborator who enjoys working cross-functionally and influencing decisions through data</li><li>
You are motivated by driving real-world impact, ensuring your analyses and models lead to measurable business outcomes</li><li>
You continuously seek to learn and stay current with evolving data science and AI trends</li></ul>
Where you belong:
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters.This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy, not just produce analysis. We value sharp thinking, business curiosity, and clear communication.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450274 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Data Science Expert

GIG Gulf

<div>
 
 
 Who we are:
 
 
 
 GIG Gulf (a Fairfax company) is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 12 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 3.83 billion and $69 million net profit for the year 2023. The majority shareholder of GIG Group is Toronto based Fairfax Financial Holding, a global leader in insurance and reinsurance with a presence in 40 markets.
 
 
 
 
 
 GIG Gulf is an &lsquo;A&rsquo; rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.
 
 
 
 
 
 GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region&rsquo;s digital insurer of reference, committed to running our operations in a responsible, sustainable way
 
 .
 
 
 
 
 
 
 
 Job purpose:
 
 
 
 Are you enthusiast in contributing to the business purpose of a Regional Insurance Leader? Are you Data driven, technologically savvy and hands-on Data Architect with Data Engineering exposure on AWS and Azure Cloud? Express your Passion with GIG Gulf business and IT stakeholders to:
 
 <ul>
 <li>
 define and maintain GIG Gulf IT Data standards, architectural guidelines and solutions.
 </li>
 <li>
 lead pilots, POCs and exploration of new innovative solutions, practices and patterns
 </li>
 <li>
 influence delivery of GIG Gulf Data &amp; AI projects on time, quality and budget,
 </li>
 <li>
 actively contribute to GIG Gulf&rsquo; Data &amp; AI vision and roadmap, including business case definition, project requirements, organization, and methodology,
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In collaboration with GIG Gulf business and IT stakeholders and considering information system landscape, business ambitions, recommendation, best practices, technology evolution and market trends:
 
 
 
 
 
 Architecture
 
 <ul>
 <li>
 Lead the definition and maintenance of GIG Gulf&rsquo;s enterprise data and AI architecture and delivery roadmap
 </li>
 <li>
 Drive the data and AI architecture aligned with GIG Gulf&rsquo;s business and technology strategy
 </li>
 <li>
 Contribute to the IT Strategy Plan, including cloud, data, analytics, and AI capabilities
 </li>
 <li>
 Support selection and evolution of data and AI platforms, technologies, and strategic partners
 </li>
 </ul>
 
 
 
 
 Data &amp; AI Platform Leadership
 
 <ul>
 <li>
 Define architectural patterns for data platforms supporting analytics, reporting, AI/ML, and GenAI use cases
 </li>
 <li>
 Guide the design of AI-ready data foundations, including structured and unstructured data pipelines
 </li>
 <li>
 Ensure architectural consistency, reuse, and alignment across data, analytics, and AI solutions
 </li>
 <li>
 Work closely with information security, risk, and compliance teams to embed governance and controls
 </li>
 </ul>
 
 
 
 
 Technical Leadership
 
 
 Strong technical leader with broad and in-depth understanding of:
 
 <ul>
 <li>
 Data architecture, data modeling, and data governance
 </li>
 <li>
 Data engineering and cloud-native data platforms
 </li>
 <li>
 Analytics, BI, and AI/ML solution patterns
 </li>
 <li>
 Generative AI concepts including LLM-based solutions, retrieval-augmented generation (RAG), and vector-based retrieval architectures etc.
 </li>
 <li>
 Maintain practical knowledge of data and AI services from AWS and Azure along with modern development practices
 </li>
 </ul>
 
 
 
 
 
 Operational &amp; Technical Responsibilities:
 
 
 
 Data &amp; AI Architecture
 
 
 Function as an active, initiative‑taking Data and AI Architect for GIG Gulf initiatives:
 
 <ul>
 <li>
 Refine and maintain data and AI architecture frameworks, guidelines, and design patterns
 </li>
 <li>
 Define target-state architectures for master data (customer, product, provider, referential data)
 </li>
 <li>
 Contribute to solution and technical architecture covering:
 </li>
 <li>
 Data lakes and analytical platforms
 </li>
 <li>
 AI/ML and GenAI-enabled use cases
 </li>
 <li>
 Design architecture that support AI workloads, including (desirable):
 </li>
 <li>
 Retrieval-augmented generation (RAG) patterns
 </li>
 <li>
 Vector storage and semantic retrieval for enterprise knowledge use cases
 </li>
 <li>
 Secure integration of public or foundation models with internal data
 </li>
 </ul>
 
 
 
 
 Tangible Outcomes &amp; Delivery Focus
 
 
 Maintain a strong delivery and results orientation:
 
 <ul>
 <li>
 Contribute to the data and AI roadmap aligned to business priorities
 </li>
 <li>
 Lead implementation of data and analytics solutions on AWS (e.g., S3, Glue, Redshift, RDS, Lambda, Athena) and/or Azure (e.g., Data Lake Storage, Data Factory, Synapse Analytics, Azure Functions, Event Hubs)
 </li>
 <li>
 Oversee data modeling for OLTP and OLAP systems, including data quality, cleansing, and de-duplication initiatives
 </li>
 <li>
 Guide data engineering practices using Spark (Python, Spark SQL), data workflows and automated pipelines
 </li>
 <li>
 Support AI-enabled analytics and reporting use cases through curated data marts and BI extensions
 </li>
 <li>
 Ensure solutions are production-ready, documented, and maintainable
 </li>
 </ul>
 
 
 
 
 AI Solution Governance &amp; Integration
 
 <ul>
 <li>
 Define architectural guardrails for enterprise AI usage, including (desirable):
 </li>
 <li>
 Responsible and compliant use of LLMs and GenAI services
 </li>
 <li>
 Data access, privacy, and residency controls for AI solutions
 </li>
 <li>
 Integration patterns for AI agents and automated workflows where applicable
 </li>
 <li>
 Support evaluation and controlled adoption of AI technologies, avoiding fragmented or unmanaged deployments
 </li>
 <li>
 Ensure AI solutions are aligned with enterprise architecture, security, and regulatory requirements
 </li>
 </ul>
 
 
 
 
 Communication &amp; Stakeholder Engagement
 
 <ul>
 <li>
 Prepare clear, structured architectural proposals and decision papers with supporting rationale
 </li>
 <li>
 Communicate architectural choices to both technical and non-technical stakeholders
 </li>
 <li>
 Provide clear recommendations aligned with business outcomes and strategy
 </li>
 <li>
 Promote collaboration, reuse, and shared ownership across delivery teams
 </li>
 </ul>
 
 
 
 
 Quality &amp; Operational Excellence
 
 <ul>
 <li>
 Ensure high-quality testing, data validation, and operational readiness of data and AI platforms
 </li>
 <li>
 Support incident, problem, and defect analysis related to data and AI solutions
 </li>
 <li>
 Track and follow up on issues to ensure timely resolution and continuous improvement
 </li>
 </ul>
 
 
 
 
 People Leadership
 
 <ul>
 <li>
 Manage recruitment and onboarding of data and AI team members in collaboration with HR
 </li>
 <li>
 Set, review, and track team objectives and performance
 </li>
 <li>
 Support team development through coaching, mentoring, and targeted training
 </li>
 <li>
 Foster a collaborative culture aligned with GIG values and delivery commitments
 </li>
 </ul>
 
 
 
 
 Business / Domain knowledge requirements
 
 <ul>
 <li>
 Knowledge of Health Data industry
 </li>
 <li>
 Basic knowledge of the insurance business
 </li>
 <li>
 Basic understanding of market practices/business processes
 </li>
 <li>
 Understanding of regulatory challenges, including compliance, data privacy and residency
 </li>
 </ul>
 
 
 
 
 
 Minimum requirements of role
 
 
 
 
 Qualifications &amp; Technical Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, or a related technical discipline
 </li>
 <li>
 Master&rsquo;s degree or relevant professional certifications (cloud, data, or architecture‑related) are an advantage but not mandatory
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 8 &ndash;12 years of overall experience in data architecture, data engineering, or closely related roles
 </li>
 <li>
 3-5 years in an architecture role responsible for data platforms on cloud
 </li>
 <li>
 Proven experience designing and delivering data and analytics solutions on AWS and/or Azure
 </li>
 <li>
 Experience in regulated environments (insurance, financial services, healthcare) is preferred
 </li>
 </ul>
 
 
 
 
 
 Core Skills
 
 
 <ul>
 <li>
 Data Architecture &ndash; Ability to define conceptual, logical, and physical data architectures aligned to business strategy
 </li>
 <li>
 Cloud Data Platforms &ndash; Hands‑on experience with AWS and/or Azure data and analytics services
 </li>
 <li>
 Data Engineering &ndash; Hands on experience designing and delivering scalable ETL/ELT pipelines using Spark and Python
 </li>
 <li>
 Analytics &amp; BI &ndash; Hands on experience with analytical use cases, data marts, and BI platforms (such as Power BI or others)
 </li>
 <li>
 AI‑enabled Data Architectures (
 
 desirable
 
 ) &ndash; Hands on experience enabling AI/ML and GenAI use cases through data foundations, including exposure to LLM‑based solutions, RAG patterns, and vector‑based retrieval where applicable
 </li>
 <li>
 Data Governance &amp; Security &ndash; Strong understanding of data quality, privacy, residency, and security‑by‑design principles
 </li>
 </ul>
 
 
 
 
 
 Collaboration
 
 
 <ul>
 <li>
 Proven experience leading data or analytics teams
 </li>
 <li>
 Strong stakeholder management skills across business, IT, and control functions
 </li>
 <li>
 Ability to communicate architectural decisions clearly
 </li>
 <li>
 Comfortable working in a high‑demand, delivery‑oriented environment
 </li>
 </ul>
 
 
 
 
 
 Communication and Soft Skills
 
 
 <ul>
 <li>
 Excellent communication skills in English, both verbal and written
 </li>
 <li>
 Team player &ndash; ability to work with a team and influence a positive collaborative culture
 </li>
 <li>
 Ability to prioritize workload appropriately based on the impact on the business
 </li>
 <li>
 Demonstrated ability to work independently while efficiently managing multiple projects simultaneously.
 </li>
 </ul>
 
 
</div>

Data Architecture Manager

SLICIT

<div>
 Technology
 
 
 Dubai, UAE (Hybrid Work Model)
 
 
 Please note that, due to operational and logistical considerations, we do not currently accommodate relocation packages and foreign visas.
 
 
 Apply Now
 
 
 
 Role Summary
 
 
 
 SLICIT is on the forefront of integrating Web 3.0 technologies into the asset management and fintech sectors.
 
 
 We are seeking a Data Scientist with a pioneering spirit to harness vast datasets and apply analytical rigor in the realms of blockchain, tokenization, NFTs, and other Web 3.0 concepts.
 
 
 Your role will be instrumental in driving innovation through data-driven insights, particularly in optimizing asset management strategies, exploring fintech opportunities, and leveraging real-world assets through digital transformation.
 
 
 This position is tailor-made for someone who not only excels in technical and analytical capacities but also brings a wealth of business experience and industry knowledge in asset management, fintech, and the burgeoning field of digital assets.
 
 
 
 Reporting To
 
 
 
 Chief Technology Officer
 
 
 
 Employment Type
 
 
 
 Full-Time
 
 
 
 Essential Qualifications And Skills
 
 
 
 <ul>
 <li>
 Machine Learning and AI Expertise: The ideal candidate will possess a robust foundation in both theoretical and practical aspects of machine learning (ML) and artificial intelligence (AI), with a particular emphasis on applications within the financial sector. You should have hands-on experience designing, implementing, and validating a wide range of ML models, from traditional algorithms like Linear Regression, Decision Trees, and Clustering, to more advanced techniques including Neural Networks, Natural Language Processing (NLP), and Reinforcement Learning.
 </li>
 <li>
 Knowledge of Tools and Frameworks:
 </li>
 <li>
 Proficiency in using Python libraries such as Scikit-learn for machine learning model development and TensorFlow or PyTorch for deep learning applications.
 </li>
 <li>
 Experience with NLP tools like NLTK or spaCy to derive insights from textual data, which is particularly relevant in analyzing market sentiment or financial news.
 </li>
 <li>
 Familiarity with reinforcement learning frameworks such as OpenAI Gym, which can be applied to develop sophisticated trading algorithms that adapt and learn from the market&rsquo;s dynamics.
 </li>
 <li>
 A track record of employing AI-driven analytics to forecast market trends, optimize investment portfolios, or enhance customer personalization and engagement in fintech solutions.
 </li>
 <li>
 Demonstrated Impact: Evidence of past projects where your ML and AI expertise directly contributed to significant business outcomes, such as improved investment returns, risk reduction, operational efficiencies, or customer satisfaction enhancements. The ability to quantify the impact of your work (e.g., percentage increase in investment performance, reduction in risk exposure) will be highly valued.
 </li>
 <li>
 Programming and Data Manipulation Proficiency: Adeptness in programming and data manipulation, critical for analysing complex datasets and developing scalable solutions.
 </li>
 <li>
 Core Programming Languages: Proficiency in Python is essential, given its widespread use in data science for everything from data manipulation with Pandas to complex machine learning with libraries like TensorFlow and scikit-learn. Expertise in R is also valuable, particularly for statistical analysis and visualization. Knowledge of SQL is crucial for querying databases and manipulating data stored in SQL databases.
 </li>
 <li>
 Data Manipulation Tools and Techniques: Candidates should demonstrate expertise in handling large datasets, employing techniques and tools for data cleaning, transformation, and aggregation. Experience with Python libraries such as NumPy and Pandas, or R packages like dplyr and tidyr, is expected.
 </li>
 <li>
 Version Control and Collaboration: Familiarity with version control systems, notably Git, is necessary for efficient collaboration within a team. This includes managing code repositories, branching, merging, and handling pull requests in platforms like GitHub or GitLab.
 </li>
 <li>
 Advanced Analytical and Statistical Skills: Expertise in statistical analysis, predictive modeling, and data mining, with a proven track record of leveraging these skills to drive business decisions.
 </li>
 <li>
 Education: A Master&rsquo;s or PhD in Data Science, Computer Science, Mathematics, Statistics, or related field, with ideally coursework or projects focused on finance, blockchain, or digital assets.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Programming and Data Manipulation Proficiency in Scala or Java would be a plus, tailored towards data science applications in finance and asset management.
 </li>
 <li>
 Big Data Technologies: Familiarity with big data frameworks and cloud computing environments, enhancing data processing and analysis capabilities.
 </li>
 <li>
 Deep Learning Proficiency: Knowledge of deep learning applications in finance, such as predictive analytics for market trends or customer behaviour analysis.
 </li>
 <li>
 Data Visualisation Skills: Competence in using tools like Tableau or Power BI for creating intuitive data visualisations that convey complex information to stakeholders.
 </li>
 <li>
 Business Experience and Industry Knowledge: Some experience in asset management, fintech, or related sectors, with a keen understanding of market dynamics, regulatory environments, and the potential of digital transformation through Web 3.0 technologies.
 </li>
 <li>
 Blockchain and Web 3.0 Technologies: Deep understanding of blockchain fundamentals, smart contracts, tokenization of assets, NFTs, and their implications for asset management and fintech is a big advantage. Experience with platforms such as Ethereum, Hedera Hashgraph, and Polygon. In particular:
 </li>
 <li>
 Fundamental Blockchain Concepts: Candidates should have a solid grasp of key blockchain principles, including decentralized ledgers, consensus mechanisms, smart contracts, and cryptographic protocols. This knowledge is vital for analysing blockchain data and understanding the underlying technology of digital assets and transactions.
 </li>
 <li>
 Blockchain Platforms and Tools: Experience with major blockchain platforms such as Ethereum, for smart contract development, and ideally familiarity with newer platforms like Hedera Hashgraph, Polygon or Polymesh.
 </li>
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 Smart Contracts and DApps Development: While primarily a data-focused role, understanding the development and deployment of smart contracts and decentralized applications (DApps) can provide valuable insights into data sources and potential applications of blockchain in asset management and fintech. Knowledge of Solidity (for Ethereum) or other smart contract languages is a plus.
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 Blockchain in Finance: Specific experience in applying blockchain technology to solve problems in finance, such as through tokenization of assets, implementation of NFTs for unique asset representation, or enhancing the security and efficiency of transactions.
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 Industry Certifications: Certifications related to blockchain technology, data science, or finance, showcasing a commitment to ongoing professional development.
 
 
 </li>
 </ul>
 
 Remuneration Benefits
 
 
 
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 Competitive Salary: Reflective of the expertise and strategic importance you bring to the team.
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 Comprehensive Benefits Package: Premium health insurance, retirement planning options, and generous vacation policies.
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 Professional Development: Commitment to your growth through conferences, workshops, and certifications in emerging technologies and financial analysis.
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 Innovative Work Culture: Be part of a dynamic team pushing the boundaries of technology in asset management and fintech.
 
 
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 </ul>
 
 How To Apply
 
 
 
 Are you excited by the challenge of transforming the asset management and fintech landscapes through Web 3.0 technologies? If you have a solid foundation in data science, your next career milestone awaits with us.
 
 
 Interested candidates should submit their resume, a comprehensive cover letter detailing your relevant experience, along with any notable projects, , and why you&rsquo;re a fit for SLICIT, to careers@slicit.com with the subject line &ldquo;Data Scientist Application&rdquo;.
 
 
 Apply Now
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Data Scientist

AMroute LLC

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 Position: 1 Duration: 12 months Location: Dubai Address:
 
 
 3, Al Rigga road Al Muraqqabat, Deira, Dubai Level 7 Working Hours/Time Zone: 8 hrs/day, UAE time (following the UAE labour law) Onsite/Remote: Onsite interview process: All profiles will go through online test, only the candidates who cleared the test will go through the 2 rounds of interview - 1- Internal Technical discussion, 2- Client Technical discussion. Bill Rate: USD 20-22/hr -
 
 
 This will be the only rate accepted Top 3 requirements: Strictly follow the JD shared, Worked as a data modeller (must have - more than 8+ experience as data modeller), clear understanding on the data modelling concepts, has experience on implementing the data modelling in Lakehouse projects.
 
 
 Job Description: 8+ yrs of Data Modelling experience.
 
 
 Data Modeler - Azure Databricks (Medallion Architecture)
 
 
 Role Purpose
 
 
 Design and deliver implementation-ready logical and physical data models within Azure Databricks (Delta Lake) following Medallion Architecture (Bronze, Silver, Gold).
 
 
 The role ensures Data Engineers can immediately begin development with clear schema definitions, SQL structures, and zero ambiguity.
 
 
 Key Responsibilities
 
 
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 Data Modelling &amp; Design
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 Develop Conceptual, Logical, and Physical Data Models.
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 Define schemas, entities, attributes, relationships, keys, constraints, and data types.
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 Provide DDL-ready SQL definitions for implementation.
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 Clearly define fact table grain and dimensional structures.
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 Azure Databricks - Medallion Modelling
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 Design structured models across:
 
 
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 </ul>
 &cir; Bronze Layer - Raw ingestion, schema control.
 
 
 &cir; Silver Layer - Cleansed, conformed, standardized data.
 
 
 &cir; Gold Layer - Business-ready dimensional models.
 
 
 Data Modeler - Azure Databricks (Medallion Architecture)
 
 
 <ul>
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 Define transformation logic across layers (Bronze &rarr; Silver &rarr; Gold).
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 Incorporate Delta Lake best practices (partitioning, performance, scalability).
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 Advanced Modelling Techniques
 
 
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 </ul>
 Strong hands-on expertise in:
 
 
 <ul>
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 3rd Normal Form (3NF)
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 Star Schema
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 Snowflake Schema
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 Data Vault (Hubs, Links, Satellites)
 
 
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 </ul>
 Must clearly define:
 
 
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 Fact grain
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 Surrogate key strategy
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 Slowly Changing Dimensions (Type 1 &amp; 2)
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 Conformed dimensions
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 Aggregation strategy
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 Engineering &amp; Governance Alignment
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 Ensure models are build-ready for Data Engineering teams.
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 Review implementation alignment with design.
 </li>
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 Maintain ER diagrams, data dictionary, mapping documents.
 </li>
 <li>
 Enforce enterprise naming standards and modelling best practices.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 8+ years of hands-on Data Modelling experience.
 </li>
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 Strong SQL (DDL, partitioning, performance concepts).
 </li>
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 Proven experience in Azure Databricks and Delta Lake environments.
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 Deep understanding of Medallion Architecture.
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 Experience in enterprise Data Warehouse or Modern Data Platform projects.
 </li>
 <li>
 Proficiency with data modelling tools (ERwin, ER Studio, PowerDesigner, Lucidchart, or similar).
 </li>
 </ul>
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Data Modeler – Azure Databricks (Medallion Architecture) - RAXJP00002194 - Dubai

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