estimation engineer

sales engineer

data analyst

business analyst

data scientist

data engineering

Property Finder

<div><div><p>Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region's growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.</p>
<p>
Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.</p></div><p><b>
Position:</b> Data Platform Intelligence Manager, B2B
<br>
<b>Reports To:</b> Director of Data Platform Intelligence</p>
<h2 class="jobSectionHeader"><b>
Summary</b></h2>
<p>
We're seeking a people-first Engineering Manager to lead our high-performing Data Engineering team in a fast-growing proptech organization. This isn't a role for someone looking to stay hands-on in code, this is about leverage, not output. Your success equation is simple: Team Output &times; Team Health.</p>
<p>
In this role, you will act as the core engineering partner to our B2B Product and Commercial organizations. You will move beyond simply fulfilling data requests to actively co-owning the roadmap for how data powers our enterprise offerings. Your team will build highly scalable data products that deliver actionable customer intelligence, optimize commercial performance, and provide deep behavioral insights.</p>
<p>
Furthermore, you will champion the architectural and operational evolution of our foundational data platform. You will guide the transition from traditional, descriptive data pipelines into a proactive, AI-enabled intelligence engine. By embedding advanced analytics and machine learning capabilities directly into our core infrastructure, you will ensure our data ecosystem acts as a primary catalyst for product monetization, enhanced customer ROI, and long-term retention.</p>
<h2 class="jobSectionHeader"><b>
Our Tech Stack</b></h2>
<p><b>
Languages:</b> Python, SQL<br>
<b>Orchestration:</b> Dagster (migrating from legacy Airflow)<br>
<b>Compute &amp; Storage:</b> AWS Redshift, S3, Clickhouse, Athena<br>
<b>Transformation:</b> dbt (Core/Cloud), Fivetran<br>
<b>Infrastructure:</b> AWS (ECS/EKS, Glue, Lambda), Terraform with Terragrunt<br>
<b>AI/GenAI:</b> AWS Bedrock, AWS Agentcore, LangChain</p>
<h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>1. Business Alignment &amp; Strategic Delivery</b></h3>
<p><b>
Drive Business OKRs</b></p>
<ul>
<li>Move beyond &quot;closing tickets&quot; to delivering tangible business value. Ensure your team understands why they're building a pipeline, not just how.</li>
<li>Partner closely with Product Managers to translate business requirements into technical roadmaps, prioritizing initiatives that directly impact company objectives.</li>
<li>Own the &quot;Universal Translator&quot; role: Articulate technical debt, risks, and architectural trade-offs (e.g., cost vs. latency) in language that Product, Finance, and Executive teams understand.</li>
</ul>
<p><b>Delivery Excellence</b></p>
<ul>
<li>Own the agile delivery process (Sprint Planning, Standups, Retrospectives), ensuring predictable, high-quality delivery of data initiatives.</li>
<li>Collaborate with stakeholders to prioritize backlogs, balancing new features, tech debt, and infrastructure investments.</li>
<li>Act as the primary point of contact for downstream data consumers (Data Science, Analytics, Product teams).</li>
</ul><h3 class="jobSectionHeader"><b>2. Systems Thinking &amp; Operational Excellence</b></h3>
<p><b>
Build Resilient Systems</b></p>
<ul>
<li>Move the team away from &quot;hero engineering.&quot; When something breaks twice, fix the system that allowed it to break, not just the symptom.</li>
<li>Enforce coding standards, CI/CD practices, and architectural guidelines that scale.</li>
<li>Proactively identify and eliminate bad processes, useless meetings, and low-value work dragging down velocity.</li>
</ul>
<p><b>Own Platform Health</b></p>
<ul>
<li>Monitor and maintain SLAs, data freshness, pipeline reliability, and incident response processes.</li>
<li>Lead Root Cause Analysis (RCA) with focus on systemic fixes and preventing recurrence.</li>
<li>Champion Cloud Cost Optimization (FinOps) practices on AWS.</li>
</ul><h3 class="jobSectionHeader"><b>3. People Leadership &amp; Talent Development</b></h3>
<p><b>
Coaching &amp; Growth</b></p>
<ul>
<li>Manage, mentor, and coach a team of 6-8 Data Engineers, fostering a culture of technical excellence and psychological safety.</li>
<li>Conduct meaningful 1:1s, performance reviews, and career planning, develop engineers into Senior and Principal roles.</li>
<li>Your goal: Make yourself redundant in day-to-day operations by growing your direct reports into leaders.</li>
</ul>
<p><b>Performance Management</b></p>
<ul>
<li>Set high standards. Believe that &quot;speed with correction beats slowness with perfection.&quot;</li>
<li>Address performance issues directly and constructively. Have difficult conversations when needed to maintain team excellence.</li>
<li>Celebrate wins and create opportunities for engineers to showcase their work.</li>
</ul>
<p><b>Recruiting &amp; Retention</b></p>
<ul>
<li>Lead hiring efforts as a bar-raiser for talent, ensuring we hire engineers who fit our culture of ownership and autonomy.</li>
<li>Drive onboarding processes that set new hires up for rapid impact.</li>
<li>Build diverse, inclusive teams and create an environment where everyone can do their best work.</li>
</ul>
<p><b>4. AI &amp; Generative Intelligence Enablement</b></p>
<ul>
<li>Automate core workflows (documentation, data validation, metadata) to multiply team output.</li>
<li>Build natural-language interfaces for frictionless, enterprise-wide data access.</li>
<li>Architect scalable feature pipelines to power predictive models and monetization algorithms.</li>
<li>Slash data cycle times using AI-assisted development and automation.</li>
<li>Deploy LLM-powered observability and automated RCA to drastically reduce MTTR.</li>
</ul><h2 class="jobSectionHeader"><b>Essential Experience</b></h2>
<p><b>
Management Experience</b></p>
<ul>
<li>5+ years of hands-on experience leading Data Engineering teams, with a proven track record of delivering complex data products end-to-end. Candidates new to people management or transitioning into their first leadership role will not be considered.</li>
<li>Demonstrated success in hiring, developing, and retaining high-performing engineers.</li>
<li>Experience managing remote or distributed teams preferred.</li>
</ul>
<p><b>Technical Background</b></p>
<ul>
<li><b>8+ years</b> total experience in Data Engineering or Software Engineering.</li>
<li>Deep understanding of the modern data stack: Python, SQL, Cloud Data Warehouses (Redshift/Snowflake/BigQuery), and Orchestration tools (Airflow/Dagster/Prefect).</li>
<li>You don't need to be the best coder in the room anymore, but you must have the technical depth to review code, challenge estimates, and spot architectural risks.</li>
</ul>
<p><b>Methodology &amp; Operations</b></p>
<ul>
<li>Strong experience with Agile/Scrum methodologies and project management tools (Jira, Linear, etc.).</li>
<li>Experience managing SLAs and production incidents in high-stakes environments.</li>
<li>Track record of establishing operational excellence through monitoring, alerting, and incident response.</li>
</ul><h2 class="jobSectionHeader"><b>Desired Capabilities (Nice-to-Have)</b></h2>
<ul><li>Background in proptech, real estate, or two-sided marketplace platforms.</li>
<li>Experience with streaming data systems and event-driven architectures.</li>
<li>Familiarity with ML infrastructure, feature stores, and GenAI integration in data workflows.</li>
<li>Knowledge of data observability and quality frameworks (Monte Carlo, Great Expectations).</li>
<li>Exposure to FinOps practices and cloud cost optimization strategies.</li></ul><p></p><div><div><br>
<div>
<div><div><p><b>Our promise to talent</b></p>
<p>
At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.</p></div></div><div><br>
<div>
<p><b>Property Finder Guiding Principles</b></p>
<div>
<div><div><div><div><div><div><div><ul><li>Think Future First</li></ul>
<ul><li>Data Beats Opinions, Speed Beats Perfection</li></ul>
<ul><li>Optimise for Impact</li></ul>
<ul><li>No Ostriches Allowed</li></ul>
<ul><li>Our People, Our Power</li></ul>
<ul><li>The Biggest Risk is Taking no Risk at All</li></ul></div><br>
</div>
</div></div></div></div></div></div></div></div><br>
</div></div><div></div><div><div><div><div><p><b>Find us at:</b></p>
<p>
Twitter</p>
<p>
Facebook</p>
<p>
Instagram</p>
<p>
Linkedin</p>
<p>
Glassdoor</p></div></div></div></div></div></div><p></p>

Data Platform Intelligence Manager - B2B

The Emirates Group

<div><h5 class="jobSectionHeader"><b>Job Purpose
</b></h5><p>The Chief Directorate Department at Emirates Airlines oversees strategic planning, operational excellence, and innovation across various divisions. It plays a key role in driving the airline's growth, enhancing customer experience, and ensuring seamless global operations.
</p><p>As a Data Quality &amp; Automation Engineering Lead you will be a fully participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves leading and championing quality practices along with designing and implementing data quality and automation platforms. They will also provide support and maintenance to technical analytics solutions and products that support Emirates Airlines and the Emirates Group businesses.
</p><p><b>In this role you will:
</b></p><ul><li>Work with product owners, analysts, software engineers and architects to drive understanding of technical landscape and context of deliveries &amp; refine complex functional and non-functional requirements and translate to acceptance tests.
</li><li>Support in building the technical design by contributing in the analysis of data application and ensuring quality related features are baked into the solution.
</li><li>Work on and guide engineers on problems of diverse scope where analysis of data requires evaluation of identifiable factors and select methods to validate and automate the solution.
</li><li>Drive &amp; mentor creation of test strategies and test plans validating the core business problem and translating them into tests around code functionality, data quality, performance, and security.
</li><li>Build components &amp; liaise with teams across the organization to manage cross dependencies for generating / mocking test data for exploratory analysis and running tests.
</li><li>Build platforms for automated tests / jobs of moderate to high scope and complexity across all stages of the data pipeline. Conduct code reviews to check for good coding &amp; design practices and adherence to published coding standards and guidelines.
</li><li>Build and enhance data quality rules and platforms for observability across the data pipeline.
</li><li>Perform and support team debugging complex issues, resolve blockers.
</li><li>Advocate and perform data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping ensuring delivery on business needs.
</li>Advocate and participate in updating data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.<br>
<li>
</li></ul><p></p><br>
<h5 class="jobSectionHeader"><b>Qualification
</b></h5><p><b>To be considered for the role, you must meet the below requirements:
</b></p><ul><li>5+ years of experience in Information Technology Data Engineering with focus on quality &amp; automation.
</li><li>Degree or Honours (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence)
</li><li>Minimum 4+ years of testing, automation and support experience in analytics applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure.
</li><li>Worked in a team leadership role building culture and practices around quality and developing trustworthy data assets.
</li><li>Seasoned in building data quality platforms for highly complex data architectures performing automated checks running in a CI and in production for data observability.
</li><li>Experienced in leading team to build enablers / practices to identify quality issues across complex data pipelines running on big data technologies and defining rules for validating health of the data.
</li><li>Proficient in at least 1 language (Scala / Python) for building ETL jobs in a distributed computing environment.
</li><li>Strong SQL querying skills is required.
</li><li>Experienced in a wide variety of testing methods and tools covering functional, performance, security tests across individual jobs, pipelines and end to end across enterprise.
</li><li>Good understanding of data architecture concepts such as data modelling, Big Data storage, and dimensional modelling.
</li><li>Good experience of working with jobs in data pipelines and define metrics / measures to ensure correctness of the data.
</li>Experience with batch and real-time data ingestion/integration tools and technologies handling massive quantities of data (structured and unstructured).<br>
<li>
</li></ul><p></p><br>
<p><b>Knowledge/Skills:
</b></p><ul><li>Can collaborate with multiple teams / programs to deliver solutions interactively.
</li><li>Experienced with leading a team of engineers to achieve product and business goals and displays a positive attitude.
</li><li>Can mentor engineers and provide technical leadership in designing solutions.
</li><li>Strong ability to conduct data analysis (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping).
</li><li>Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data &amp; Analytics space.
</li><li>Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues.
</li><li>Strong oral and written communication skills with demonstrable experience communicating cross-functionally with architects and product owners in formal and informal settings.
</li><li>Strong organizational, planning, and follow-up skills and ability to hold others accountable.
</li><li>Strong people management skills with a proven ability to hire and grow teams of Data Quality engineers.
</li><li>Exposure to Spark is highly desirable.
</li>Airline industry experience is nice-to-have.<br>
<li>
</li></ul><p></p><br>
<div><b>Key Technologies/Tools
</b></div><div>Big Data &amp; distributed processing: Spark, Hadoop (HDFS, Hive, H-Base, Oozie), Airflow, Apache Nifi, Azure (ADLS, DataBricks, Azure Data Factory), Elasticsearch, AVRO / PARQUET file formats. Data Analysis, Modelling and Reporting: Snowflake, SQL, Data Vault 2.0, MicroStrategy, Power BI. Cloud Technologies: Microsoft Azure and Cloudera technology stacks. Integration and Messaging: Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka. CI/CD: GIT, Bitbucket, Jenkins, Azure DevOps, Kubernetes, docker, SonarQube, Gatling. Languages: Scala, Python.<br>
</div><p></p><p>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. so if you're looking for a challenging and rewarding opportunity, apply today and join our team!
</p><h5 class="jobSectionHeader"><b>Salary &amp; benefits
</b></h5><p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p></div>

Lead Data Quality Engineer

ALL METALS INDUSTRIES

<ul><li>mpletes construction projects by preparing engineering design and documents and confirming specifications.</li><li>Designs construction projects by studying project concept, architectural drawings, and models.</li><li>Prepares engineering design by collecting and studying reports, maps, drawings, blueprints, aerial photographs, and tests on soil composition, terrain, hydrological characteristics, and related topographical and geologic data.</li><li>Determines project costs by calculating labor, material, and related costs.</li><li>Creates feasibility study by analyzing engineering design, conducting environmental impact studies, and assembling data.</li><li>Produces engineering documents by developing construction specifications, plans, and schedules.</li><li>Confirms adherence to construction specifications and safety standards by monitoring project progress, inspecting construction site, and verifying calculations and placements.</li><li>Fulfills project requirements by training and guiding operators.</li><li>Maintains operations by enforcing project and operational policies and procedures.</li><li>Provides engineering information by answering questions and requests.</li><li>Complies with federal, state, and local legal requirements by studying existing and new legislation; anticipating future legislation; enforcing adherence to requirements; and advising management on needed actions.</li><li>Maintains project database by writing computer programs, entering data, and completing backups.</li><li>Contributes to team effort by accomplishing related results as needed.</li></ul><p>Job Type: Full-time</p><p>Pay: From AED7,000.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>civil engineer: 3 years (Preferred)</li></ul>

Civil Engineer

Anotech Energy

<p>ALTEN Group is a world leader in Engineering and Technology consulting services providing outsourced Engineering, R&amp;D, and IT Services for different industries such as Transportation, Defence, Energy and Security with 55,000 engineers in nearly 35 countries. ANOTECH is the subsidiary of the Group delivering ALTEN's Engineering Services in Middle East and Asia Pacific.</p><p>As an Integration and Test Engineer, you are responsible for ensuring that the IT Infrastructure subsystem is implemented, integrated, tested, and verified in accordance with system and subsystem requirements. The role supports the full integration lifecycle of system releases delivered by the IT Infrastructure team, ensuring platform stability, performance, security, and readiness for deployment.</p><p><b>Responsibilities:</b></p><p>&middot; Participate in Agile ceremonies (Sprint planning &amp; Review, Daily, Retrospective)</p><p>&middot; Deploy all necessary tools to monitor and troubleshoot the platform</p><p>&middot; Installation of hardware equipment (rack cabinet, devices, cabling)</p><p>&middot; Patch, update and maintain the integration and test platform</p><p>&middot; Define test procedures against the system requirements</p><p>&middot; Integrate the system releases</p><p>&middot; Raise problem reports to the team</p><p>&middot; Produce integration and test reports</p><p>&middot; Support the system engineering team during integration and system test activities</p><p>&middot; Prepare training materials and conduct training to peers and customers</p><p>&middot; Participate in internal and customer technical meetings</p><p>&middot; Configuration of the Continuous Integration / Continuous Deployment tools</p><p>&middot; Document maintenance procedures</p><p>&middot; Support for on-site troubleshooting</p><p>&middot; Peer review of requirements, specifications, test procedures and manuals (user, administration, maintenance)</p><p>&middot; Run vulnerability assessment and contribute to the remediation actions</p><p>&middot; Attend site survey visits and prepare site survey reports</p><p><b>Knowledge, Skills and Experience:</b></p><p>&middot; Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related technical field.</p><p>&middot; <b>Working experience in the following technical environment:</b></p><p>&middot; <b>Operating Systems - Linux:</b> <b>Debian, RedHat</b></p><p>&middot; <b>Virtualization &amp; Containers - VMware, Docker, Kubernetes</b></p><p>&middot; <b>Databases - PostgreSQL, MariaDB</b></p><p>&middot; <b>Networking - Cisco, Alcatel-Lucent, Fortinet</b></p><p>&middot; <b>CI/CD &amp; Automation - Ansible, Jenkins, GitLab</b></p><p>&middot; <b>Data Centre &amp; Infrastructure - </b>Power systems and UPS / Structured cabling systems (power, coaxial, discreet wiring) / Data and server cabinets / Powerline networks</p><p>&middot; Proven experience in IT infrastructure integration, system testing, or system engineering.</p><p>&middot; Hands-on experience with Linux systems, virtualization, networking, and data centre environments.</p><p>&middot; Experience working in mission-critical or regulated environments.</p><p>&middot; Exposure to cybersecurity assessments and remediation.</p><p>&middot; Familiarity with Agile/Scrum delivery models.</p><p>&middot; Willingness to travel or work on-site as required.</p><p>&middot; Strong understanding of integration and test methodologies for IT infrastructure systems.</p><p>&middot; Ability to troubleshoot complex infrastructure and system integration issues.</p><p>&middot; Good documentation and reporting skills.</p><p>&middot; Strong communication skills and ability to work with customers and cross-functional teams</p><p>Job Type: Permanent</p><p>Pay: AED10,000.00 - AED15,000.00 per month</p><p>Experience:</p><ul><li>Linux -  Debian, RedHat: 3 years (Required)</li><li>VMware, Docker, Kubernetes: 3 years (Required)</li><li>Ansible, Jenkins, GitLab: 3 years (Required)</li><li>Data Centre &amp; Infrastructure - Power systems and UPS: 3 years (Required)</li></ul>

Integration and Test Engineer

Havas Media Middle East

<p><b>Job Description:</b></p><p>We are seeking a motivated Junior Data Engineer to join our team and assist in managing our data infrastructure. This role offers an excellent opportunity to gain hands-on experience in data engineering and contribute to the optimisation of our data processes as well as development of our Data &amp; AI products.</p><p><b>Key Responsibilities:</b></p><ul><li>Assist in the design, development, and maintenance of data pipelines and ETL processes.</li><li>Support data integration from various sources into our data warehouse.</li><li>Collaborate with analysts to ensure data accuracy and availability.</li><li>Perform data cleaning, transformation, and enrichment tasks.</li><li>Help optimise database performance and troubleshoot issues.</li><li>Contribute to the improvement of our data infrastructure.</li><li>Document processes and create technical documentation for future reference.</li></ul><p><b>Qualifications:</b></p><ul><li>Degree in Computer Science/Engineering, Information Technology, or a related field.</li><li>Basic knowledge of SQL and a programming language (Python, R, JavaScript, etc.).</li><li>An interest in learning more about Cloud Architecture.</li><li>Familiarity with data science concepts and techniques.</li><li>Strong problem-solving skills and attention to detail.</li><li>Good communication and teamwork abilities.</li><li>Willingness to learn and adapt to new technologies.</li></ul><p><b>Interview Process:</b></p><ul><li>Stage 1: 15 mins initial screening call on Teams.</li><li>Stage 2: 30-45 mins coworking data assignment on Teams.</li><li>Stage 3: 1 hour face to face interview and office visit.</li></ul><p>If you're passionate about data and eager to grow your skills in a dynamic environment, we encourage you to apply. Join us in shaping the future of our data operations!</p><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Dubai Knowledge Village: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Language:</p><ul><li>Arabic (Required)</li></ul>

Junior Data Engineer

Omada Rail Systems

<div><ul><li><b>Permanent Contract
</b></li></ul><ul><li><b>Entry-Level
</b></li></ul><ul><li><b>Dubai
</b></li></ul><ul><li><b>Technical Engineering</b></li></ul></div>
<br><div><p><b>About Us</b></p><p><br>
Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organization of society and the living environment of citizens all over the world.</p><p>
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.</p><p><b><br>
About the Role</b></p><p><br>
Assist in the preparation of the Technical Document Register (TDR), identify requirements and scope of work; review specifications and Data Sheets, General Arrangement (GA) drawings, Review Philosophies, Area Classification Drawings and other relevant documents</p><p>
Prepare the design basis, single line-diagrams, equipment and cable sizing calculations and other material and equipment analysis for client approval.</p><p>
Prepare Carry Out short circuit load flow, voltage dips and transient stability studies using ETAP software. Perform design calculations for earthing, lightning protection, lighting, relay settings etc.</p><p>
Assist in the organization and guidance of designers in the preparation of equipment and material specifications and data sheets, administer the development of detailed engineering calculations and drawings including the preparation of load list/schedules Single Line Diagrams, Schematic Diagrams, Logic Diagrams, Cable Schedules and Cable Drum Schedules, Interconnection Schedules, Hazardous Area Classification, Equipment Lay-outs, Cable Routing and Lay-out Drawings, Cable Trench/Tray Layout Drawings, Lighting System Lay-out and Details, Earthing/Lighting System Lay-out and Details, Heat Tracing Lay-out and Details, Installation Standard Drawings, Relay Coordination Drawings and other required documents.</p><p>
Prepare technical inquiry requests (Inquiry Requisitions) to vendors, participate in the technical evaluation of vendor bid offers. Perform Technical Bid Evaluations (TBE), review vendor drawings and documents. Ensure vendor equipment specifications meet with client equipment specifications and are within budgeted costs.</p><p>
Assist in the review of plot plans; organize the issuance of engineering drawings and technical documents for Inter-Discipline Checks (IDC&rsquo;s) coordinate with other engineering discipline in the integration of technical data inputs.</p><p><b><br>
What do we need from you</b></p><p><br>
Bacherlors Degree in Electrical Engineering</p></div>

Lead Electrical Engineer

Moreton Capital Partners

<div><h3 class="jobSectionHeader"><b>Data Engineer - Systematic Commodities Hedge Fund</b></h3><p>
Moreton Capital Partners is a systematic commodities hedge fund preparing to launch live trading across global futures markets. Our research and trading systems rely on robust, scalable data infrastructure. We are looking for Data Engineers to help us design, build, and optimize that infrastructure alongside senior engineers and the CIO.</p><p></p><p><b>
Key Responsibilities</b><br>
You&rsquo;ll work on projects such as:</p><ul>
<li>
Designing and maintaining data pipelines to collect, clean, and transform market and alternative datasets (e.g., futures, options, weather, satellite, fundamentals).</li>
<li>Building ETL workflows using Python (pandas/polars) and orchestration tools such as Airflow or Prefect.</li>
<li>Structuring data warehouses and APIs (SQL, Snowflake, or similar) for efficient query and analysis.</li>
<li>Developing data quality and monitoring systems for latency, completeness, and integrity.</li>
<li>Assisting in cloud deployments (AWS, Docker) and automation for data ingestion and versioning.</li>
<li>Collaborating with Quant Researchers to make research datasets reproducible and production-ready.</li>
<li>Contributing to internal documentation and code standards to ensure long-term maintainability.</li>
</ul><p><b>
Requirements</b></p><ul><li>
Strong programming skills in Python and familiarity with SQL.</li></ul><ul>
<li>Understanding of data structures, algorithms, and software engineering best practices.</li>
<li>Interest in large-scale data systems, cloud computing, or distributed processing.</li>
<li>Self-starter with curiosity and attention to detail.</li>
</ul><p></p><p>
Bonus points for:</p><br>
<ul>
<li>
Experience with Airflow, Docker, or AWS.</li>
<li>Familiarity with Snowflake, Polars, or Pandas workflows.</li>
<li>Exposure to financial or time-series data.</li>
<li>Understanding of CI/CD, version control, or testing frameworks.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>
Real-world impact: Help build data systems that directly feed institutional-grade trading research and live execution.</li>
<li>Technical depth: Gain hands-on experience with distributed data pipelines, cloud infrastructure, and production data engineering.</li>
<li>Mentorship: Work closely with senior engineers, the CIO, and Quant Researchers on live projects.</li>
<li>Collaborative culture: Inclusive, high-trust team that values initiative and learning.</li>
<li>Compensation: Competitive stipend/salary based on experience.</li></ul></div>

Data Engineer - Systematic Commodities Hedge Fund

Explore 2815+ Data engineering in Dubai this March. Find roles across top companies and apply now to boost your career.