electrical engineer

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estimation engineer

bi engineer

KAYALI

<div>Who We Are
Fueled by passion, KAYALI was founded in 2018 by beauty mogul and fragrance fanatic, Mona Kattan. Translating to &lsquo;my imagination&rsquo; in Arabic, KAYALI provides a modern fragrance experience inspired by Mona&rsquo;s rich Middle Eastern heritage and the art of layering scents to help you create your mood; where sharing scents is a ritual and smelling good is both an act of goodwill and self-love. Mona collaborates with some of the world&rsquo;s most renowned perfumers and sources the finest ingredients to create unique juices that are infinitely memorable, long-lasting, and cruelty-free. Each luxurious fragrance is an ode to true craftsmanship and tells a special story, from the addictive notes to the multi-faceted jeweled bottles. 
Our Mission
To make everyone feel like the diamond they are! To build a global community of fragrance lovers through the power of scent and by providing them with the most innovative &amp; luxurious fragrances, education and sharing our Middle Eastern fragrance rituals with the world. 
Summary
Introduction of a new role to provide expertise across data warehousing platforms including Azure Data Bricks and Power BI along with all the necessary integrations. The BI Engineer will be responsible for supporting, implementing and maintaining data warehouse Pipelines and Reports to streamline business process. 
RESPONSIBILITIES:
Data Platform &amp; Architecture<ul><li>
Manage a scalable modern Data platform leveraging the Azure ecosystem, including Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.
</li><li>Design and implement Lakehouse architecture using Medallion (Bronze, Silver, Gold) patterns with Delta Lake to ensure data reliability, scalability, and performance with knowledge of Delta Lake and ACID-compliant data architectures
</li><li>Apply data modelling techniques (dimensional modelling, star/snowflake schemas) to support both operational and analytical use cases.</li></ul>
Data Engineering &amp; Pipelines<ul><li>
Develop and maintain robust, high-performance data pipelines using cloud-native technologies (Databricks, PySpark, Lakehouse Workflows) to support ingestion, transformation, and curation of large-scale datasets.
</li><li>Knowledge in identifying and resolving complex data discrepancies across multi-stage ETL/ELT pipelines, with a focus on root cause analysis (RCA) of failures, data skew, and late-arriving data etc.
</li><li>Build and optimize end-to-end data integration frameworks, including ingestion from relational databases, flat files, and third-party REST APIs (handling authentication, pagination, and incremental loads).
</li><li>Troubleshoot and resolve complex data pipeline failures, performance bottlenecks, and data inconsistencies, performing root cause analysis in production environments.</li></ul>
Business Intelligence &amp; Power BI<ul><li>
Design, develop, and optimize Power BI datasets, reports, and dashboards, applying best practices in data modelling, DAX, and performance tuning.
</li><li>High-level proficiency in performance tuning and semantic model debugging, specifically using tools like DAX Studio and Tabular Editor to isolate issues within the Filter Context, Row Context, and complex relationship cardinalities.
</li><li>Strategic ability to troubleshoot data issues and investigate Gateway connectivity failures, Direct Query latency issues, and visual-level calculation errors to ensuring report accuracy and faster response times for executive stakeholders.</li></ul>
Data Integration &amp; Consumption<ul><li>
Manage the integration of data platforms with Power BI, ensuring efficient data models and seamless data consumption for reporting and analytics.</li></ul>
Data Governance &amp; Security<ul><li>
Implement and manage data security frameworks, including role-based access control (RBAC), Row-Level Security, and governance using Unity Catalog or equivalent tools.</li></ul>
DevOps, CI/CD &amp; Deployment<ul><li>
Knowledge in CI/CD pipelines using Azure DevOps or GitHub Actions to enable automated, reliable, and consistent deployment of data solutions.</li></ul>
Performance Optimization &amp; Cost Management<ul><li>
Monitor and optimize data platform performance and cloud resource utilization, identifying cost optimization opportunities and ensuring efficient workload execution.</li></ul>
Data Quality &amp; Reliability<ul><li>
Implement data quality, validation, and monitoring frameworks to ensure accuracy, consistency, and reliability of data assets.</li></ul>
Stakeholder Collaboration &amp; Delivery<ul><li>
Collaborate with cross-functional teams including business stakeholders, analysts, and engineers to translate business requirements into scalable technical solutions.</li></ul> 

Requirements 
<ul><li>
 Minimum 5+ years in both Reporting and Data engineering domain, with at least 3+ years focused on Azure based data platforms mainly Power BI and Azure Databricks.</li><li>
 Comprehensive knowledge of the Azure Data Stack and Strong hands-on experience with Azure Databricks, Azure Data Lake Storage, Synapse, ADF and open-source cloud native tools.</li><li>
 Extensive experience in Power BI, including Dataset design and optimization, Report and dashboard development using calculated measures, DAX etc.</li><li>
Knowledge of performance tuning techniques (Query optimization, Import vs Direct Query, aggregations etc).</li><li>
Proficiency in SQL, PySpark, Python</li><li>
 Solid understanding on Data modelling techniques.</li><li>
 Effective problem-solving skills backed by strong people skills.</li><li>
 Excellent oral and written communication skills.</li></ul> 

Benefits 
<ul><li>
Premium Medical/Dental/Vision coverage</li><li>
Find your Magic Days</li><li>
Volunteer Day</li><li>
Birthday Leave</li><li>
Egg Freezing Benefits</li><li>
Employee discounts on all Kayali products</li><li>
Quarterly product gifting</li></ul> 
Kayali is committed to building diverse and inclusive teams and upholding an equal employment workplace that is free from discrimination. We hire stellar individuals regardless of their race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, marital status, medical conditions, disability, or veteran status. If you need reasonable accommodations at any point in the application or interview process, please let us know.</div>

BI Engineer

JD.COM

<div>
 【
 
 About JD.com】
 
 
 
 JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, is a leading supply chain-based technology and service provider. The company&rsquo;s cutting-edge retail infrastructure seeks to enable consumers to buy whatever they want, whenever and wherever they want it. The company has opened its technology and infrastructure to partners, brands and other sectors, as part of its "Retail as a Service" offering to help drive productivity and innovation across a range of industries. JD.com&rsquo;s business has expanded across retail, technology, logistics, health, industrials, property development and international business. JD.com is ranked 44th on the Fortune Global 500 list and is China&rsquo;s largest retailer by revenue, serving over 600 million annual active customers. The company has been listed on NASDAQ since 2014, and on the Hong Kong Stock Exchange since 2020. Committed to the principles of customer first, innovation, dedication, ownership, gratitude, and integrity, the company's mission is to make lives better through technology, striving to be the most trusted company in the world.
 
 
 
 【Our Global Business】
 
 
 
 We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, JD.com continues to expand in markets where our competitive strengths shine. Currently, JD.com's operations span China, the U.K., the Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, the U.S., and many others, serving customers worldwide.
 
 
 Key International Business Segments: Joybuy (online retail business in Europe), International Logistics, Cross-border Import Business, JD Industrials International, JD Property International
</div>

Easygenerator

<div>
 
 Join Easygenerator and build the data platform powering the future of learning
 
 
 
 Step into an exciting role with an innovative e-learning software company in the EdTech space as a
 
 Data Engineer
 
 .
 
 
 Easygenerator is a fast-growing scale-up revolutionizing e-learning with our award-winning authoring tool. Join us to build scalable data solutions that enable smarter decisions across Product, Marketing, Revenue, and Business Intelligence.
 
 
 What's in it for you?
 
 
 <ul>
 <li>
 Grow Your Career: Take ownership of our modern data platform and work on high-impact projects spanning analytics, AI, and business intelligence.
 </li>
 <li>
 International Environment: Join a dynamic, international team (40+ nationalities) in a fast-growing scale-up where your work directly influences business outcomes.
 </li>
 <li>
 AI-First Company: We embrace AI in both our product and internal operations. You'll gain hands-on experience with AI-powered analytics and emerging data technologies.
 </li>
 <li>
 Learning &amp; Development: Access continuous coaching, learning opportunities, and the freedom to explore new technologies and best practices.
 </li>
 <li>
 Hybrid Working Policy: 3 day on-site / 2-day Work from Home (WFH) split.
 
 
 </li>
 </ul>
 What you will be doing
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines and infrastructure using Snowflake, AWS Glue, and modern ETL/ELT frameworks.
 </li>
 <li>
 Integrate data from platforms such as Salesforce, Mixpanel, Segment, Customer.io, Intercom, Google Analytics, and LinkedIn Ads.
 </li>
 <li>
 Develop reliable data models, warehouses, and data lakes to support reporting and analytics.
 </li>
 <li>
 Implement data quality, monitoring, governance, and security best practices.
 </li>
 <li>
 Build AI-powered self-service analytics capabilities for business users.
 </li>
 <li>
 Partner with Product, Marketing, Revenue Operations, and BI teams to deliver impactful data solutions.
 </li>
 <li>
 Optimize platform performance, reliability, and cost efficiency.
 
 
 </li>
 </ul>
 What you will bring
 
 
 <ul>
 <li>
 5+ years of Data Engineering experience.
 </li>
 <li>
 Strong expertise in Snowflake, including architecture, performance optimization, governance, and security.
 </li>
 <li>
 Experience with AWS Glue (PySpark), ETL/ELT pipelines, and workflow orchestration.
 </li>
 <li>
 Advanced SQL and Python skills.
 </li>
 <li>
 Experience with PostgreSQL, MongoDB, Amazon S3, and modern cloud data architectures.
 </li>
 <li>
 Strong understanding of data modelling, warehousing, and analytics engineering practices.
 </li>
 <li>
 Experience integrating SaaS platforms and customer, product, marketing, or revenue data.
 </li>
 <li>
 Knowledge of data governance, privacy, and compliance frameworks such as GDPR.
 </li>
 <li>
 Strong problem-solving skills, ownership mindset, and attention to detail.
 
 
 </li>
 </ul>
 Nice to have
 
 
 <ul>
 <li>
 Experience in a B2B SaaS environment.
 </li>
 <li>
 Power BI experience, including data modeling and DAX.
 </li>
 <li>
 Experience with Snowflake Cortex AI and AI-powered analytics solutions.
 </li>
 <li>
 Knowledge of marketing attribution and revenue analytics.
 </li>
 <li>
 Experience with Streamlit, Mixpanel, or similar analytics tools.
 
 
 </li>
 </ul>
 Ready to Join Us?
 
 
 If you're passionate about building modern data platforms and helping teams make smarter decisions with data, we'd love to hear from you. Apply today!
 
 
</div>

Data Engineer

Al Khayyat Investments (AKI)

<div>
 
 
 
 AI Engineer &ndash; Drive Intelligent Automation
 
 
 
 
 
 
 
 We&rsquo;re looking for an
 
 AI Engineer
 
 to design, develop, and deploy AI-driven agents and workflow automation solutions that transform enterprise operations.
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Build AI agents using
 
 LangChain, CrewAI, RAG
 
 , and integrate them with business systems via APIs.
 </li>
 <li>
 Develop automation workflows using
 
 n8n, Automation Anywhere, Power Automate, Replit
 
 .
 </li>
 <li>
 Deploy and manage containerized AI environments with
 
 Docker
 
 for scalable solutions.
 </li>
 <li>
 Collaborate with ERP and data teams (
 
 Azure Data Lake, Power BI
 
 ) to enhance insights.
 </li>
 <li>
 Research, implement, and optimize advanced AI models (
 
 GPT, Gemini, Claude
 
 ).
 </li>
 <li>
 Monitor performance, provide reports, and support end-users efficiently.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree
 
 in computer science, Engineering, or related field.
 </li>
 <li>
 
 2+ years
 
 in AI, automation, or related roles.
 </li>
 <li>
 Strong in
 
 Python, Rust, LLM engineering, API integration, cloud deployment (Azure/AWS/GCP), ML, Vector DBs
 
 .
 </li>
 <li>
 Experience with
 
 low-code/no-code automation tools, BI dashboards, SQL
 
 , and workflow design.
 </li>
 <li>
 Excellent communication, problem-solving, and teamwork skills.
 </li>
 </ul>
 
 
 
 
 Join us to innovate with AI, streamline operations, and make a real impact.
 
</div>

Artificial Intelligence Engineer (Information Technology)

Heidelberg Materials Trading

<div>
 
 Heidelberg Materials Trading is the international trading arm of Heidelberg Materials, one of the world&rsquo;s largest building materials companies, handling overseas drybulk product exports and imports across global markets. We are looking for a talented individual to join our IT team in our Dubai Office as:
 
 
 
 
 
 Data Engineer
 
 
 
 
 
 
 
 About the Role:
 
 
 
 This role sits at the centre of a greenfield transformation initiative, where we are replacing legacy reporting workflows with a modern, Microsoft first cloud data platform. You will work directly with IT and business stakeholders to connect our front office (Salesforce) and back office (JD Edwards ERP) systems into a unified analytics layer powering business critical Power BI dashboards. The role requires a hands on technical developer who builds, and owns data pipelines end-to-end, and can operate pragmatically within a Microsoft Fabric&ndash;oriented environment while proposing justified alternatives when needed.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead the migration of reporting from QlikSense to Power BI, ensuring accurate replication of existing logic, KPIs, and reporting workflows.
 </li>
 <li>
 Design, build, and maintain scalable Azure SQL&ndash;based data pipelines to support analytics, reporting, and operational decision making.
 </li>
 <li>
 Build and optimise Power BI data models, reusable datasets, and semantic layers following best practice modelling principles.
 </li>
 <li>
 Integrate data from JD Edwards (ERP), Salesforce (CRM), and other business systems, ensuring accuracy, consistency, and reliability across the reporting lifecycle.
 </li>
 <li>
 Reverse engineer manual Excel-based workflows and translate them into automated SQL or Python based pipelines to improve efficiency and reliability.
 </li>
 <li>
 Implement data validation, quality checks, monitoring, and performance optimisation across the data platform and reporting layers.
 </li>
 <li>
 Deliver Power BI training for business users and create documentation, dashboards, and best practice materials.
 </li>
 <li>
 Work closely with cross-functional teams to understand business requirements and translate them into scalable, maintainable data and reporting solutions.
 </li>
 <li>
 Contribute to data governance, security standards, and consistent documentation practices.
 </li>
 <li>
 Support UAT cycles, phased go lives, and iterative enhancements to reporting processes.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.
 </li>
 <li>
 Minimum 3 years of hands‑on experience in data engineering or data platform development. - Minimum 6 years for senior consideration.
 </li>
 <li>
 Strong SQL skills with experience working on relational databases and transformation logic.
 </li>
 <li>
 Hands‑on experience with Power BI (DAX, data modelling, row‑level security, performance optimisation).
 </li>
 <li>
 Experience developing ETL/ELT pipelines using Azure Data Factory, Azure Synapse, or Microsoft Fabric (experience with at least one is required).
 </li>
 <li>
 Experience integrating ERP or CRM systems such as JD Edwards, SAP, or Salesforce, with a strong advantage for candidates familiar with these architectures.
 </li>
 <li>
 Solid understanding of transactional vs analytical modelling and modern data warehousing approaches.
 </li>
 <li>
 Comfortable operating as a hands‑on builder, capable of developing, testing, and shipping data pipelines independently.
 </li>
 <li>
 Strong communication skills with the ability to translate technical detail into clear business language.
 </li>
 <li>
 Able to work within a Microsoft‑first environment while recommending alternative tools when supported by a clear business case.
 </li>
 <li>
 Exposure to Microsoft Power Platform (Power Automate, Power Apps) is an advantage.
 </li>
 <li>
 Experience in trading, logistics, or supply chain environments is beneficial.
 </li>
 <li>
 Familiarity with Azure‑based cloud data architectures is preferred.
 </li>
 </ul>
 
 
 
 
 
 
 We thank all applicants for their interest, but only shortlisted candidates will be contacted.
 
 
 
 
 All applications will be kept strictly confidential.
 
 
</div>

Group AMANA

<div>
 
 Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures. The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog, and building the technical foundation that powers analytics, AI, and governance across the enterprise. This role sits within Amana's Data Science, Governance &amp; AI Centre of Excellence, working alongside architects, engineers, analysts, data scientists, and AI engineers, with future growth opportunities into senior platform leadership.
 
 
 
 
 
 
 Why This Role Matters
 
 
 
 Amana operates across capital-intensive sectors where data reliability, cost discipline, and speed of insight are business-critical. The enterprise data platform is the backbone of every downstream analytics, AI, and governance initiative &mdash; from ERP-integrated reporting and predictive models to Agentic AI and Copilot rollouts across the group.
 
 
 You will be at the technical centre of this transformation, designing, building, and hardening the lakehouse that the rest of the function depends on.
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and deliver end-to-end Databricks lakehouse components &mdash; ingestion, transformation, semantic layer, and serving.
 </li>
 <li>
 Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
 </li>
 <li>
 Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
 </li>
 <li>
 Contribute to and sign off on reference designs, integration patterns, and architecture decision records.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; Integration
 
 
 <ul>
 <li>
 Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems: Oracle Fusion (Finance, HCM, P2P, CRM), Hyperion, CMiC, project and operations systems, SharePoint, and Power Platform.
 </li>
 <li>
 Apply strong CI/CD, DataOps, and infrastructure-as-code practices using Git, Azure DevOps, and Terraform or Bicep.
 </li>
 <li>
 Ensure platform reliability through monitoring, alerting, and structured incident response.
 </li>
 </ul>
 
 
 
 
 
 AI/ML &amp; Analytics Enablement
 
 
 <ul>
 <li>
 Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
 </li>
 <li>
 Enable production-grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
 </li>
 <li>
 Deliver Power BI semantic models, certified datasets, and self-service guardrails supporting the Amana Digital Academy and enterprise adoption.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Trustworthy Data
 
 
 <ul>
 <li>
 Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
 </li>
 <li>
 Partner with the Data Governance Office to translate live policies into enforceable platform controls.
 </li>
 <li>
 Support regulatory, ethical, and internal compliance obligations across the data estate.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Cost Discipline
 
 
 <ul>
 <li>
 Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
 </li>
 <li>
 Translate cloud cost outcomes into commercial terms understood by finance and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Technical Leadership
 
 
 <ul>
 <li>
 Work closely with the Data Architect, Data Engineer, Data Analyst, Data Scientist, and AI Engineer to set and uphold technical standards.
 </li>
 <li>
 Provide hands-on technical guidance and code review across the team.
 </li>
 <li>
 Translate business requirements into technical designs with clear delivery outcomes.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Minimum of 7 years in data engineering or data platform work, with strong hands-on delivery experience.
 </li>
 <li>
 At least 3 years hands-on with Databricks, Apache Spark, and Delta Lake at enterprise scale. Snowflake or BigQuery experience is acceptable where the CV shows a real Databricks migration.
 </li>
 <li>
 Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
 </li>
 <li>
 Deep hands-on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
 </li>
 <li>
 Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
 </li>
 <li>
 Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational, not theoretical.
 </li>
 <li>
 Practical FinOps outcomes on cloud spend.
 </li>
 <li>
 Strong on CI/CD, Git, Azure DevOps, and infrastructure-as-code (Terraform or Bicep).
 </li>
 <li>
 Excellent written and verbal communication skills across technical and business audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Direct experience of a Synapse Analytics to Databricks migration.
 </li>
 <li>
 Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
 </li>
 <li>
 Familiarity with Power BI semantic models and enterprise BI governance.
 </li>
 <li>
 Streaming and event-driven experience: Kafka, Event Hubs, Structured Streaming.
 </li>
 <li>
 Multi-entity, multi-country group exposure with mixed data residency considerations.
 </li>
 <li>
 Industry experience in construction, engineering services, manufacturing, energy, or logistics.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 
 
 
 Mandatory:
 
 
 
 <ul>
 <li>
 
 Databricks Certified Data Engineer Professional
 
 (Candidates holding the Associate level will be considered on the condition that Professional is achieved within 6 months of joining.)
 </li>
 </ul>
 
 
 Preferred (one or more):
 
 
 <ul>
 <li>
 
 Databricks Certified Machine Learning Professional
 
 </li>
 <li>
 
 Databricks Certified Generative AI Engineer Associate
 
 </li>
 <li>
 
 Microsoft Certified: Azure Data Engineer Associate
 
 (DP-203 / DP-700)
 </li>
 <li>
 
 Microsoft Certified: Fabric Analytics Engineer Associate
 
 (DP-600)
 </li>
 <li>
 
 Microsoft Certified: Azure Solutions Architect Expert
 
 </li>
 <li>
 
 Certified Data Management Professional (CDMP)
 
 &mdash; DAMA
 </li>
 </ul>
 
 
 Education
 
 
 
 M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
 
</div>

Data Platform Lead

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 
 Overview
 
 
 
 Job Description:
 
 Senior Engineer - Full Stack / Focus on Application
 
 
 
 Job Location: Abu Dhabi - UAE
 
 
 
 About Presight
 
 
 
 Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (&ldquo;AI&rdquo;). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
 
 
 
 The Opportunity
 
 
 
 Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities:
 
 
 In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products. These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows. You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.
 
 
 
 Qualifications
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Computer Science, Engineering or related field
 </li>
 <li>
 Strong computer science and basic algorithms knowledge.
 </li>
 <li>
 5+ years of experience in Java, Python building backend services &amp; distributed systems.
 </li>
 <li>
 5+ years of experience building modern frontends with React and TypeScript.
 </li>
 <li>
 Experience designing and building large scale distributed fault tolerant services.
 </li>
 <li>
 Experience building: search, recommendations, or other advanced analytics systems.
 </li>
 <li>
 Strong knowledge about programming principles (SOLID).
 </li>
 <li>
 Strong understanding of data analytics fundamentals and knowledge of basic SQL.
 </li>
 <li>
 Proficient with agentic development tools.
 
 
 </li>
 </ul>
 
 Good to have:
 
 
 
 <ul>
 <li>
 Data engineer experience with Databricks, Snowflake or MS Fabric.
 </li>
 <li>
 Worked with Clickhouse on OLAP/DWH workloads.
 </li>
 <li>
 Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc.
 </li>
 <li>
 Practical experience processing unstructured data with modern models &ndash; OCR, STT, NER, etc.
 </li>
 <li>
 Implemented complex analytics with BI tools such as Tableau, PowerBI or built your own.
 </li>
 <li>
 AI models, python notebook is something you like to play with as well.
 </li>
 <li>
 Have great communication skills and passion in technology and driving thing forward.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.presight.ai Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Senior Engineer - Full Stack

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Senior Engineer - Full Stack