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data engineer

GlobalXperts Technology

Job Title: Data Engineer Location: UAE (Onsite)Experience : 5+ yearsNotice Period : Immediate Joiners preferredRole SummaryResponsible for building scalable data pipelines, ensuring data quality and governance, and delivering reliable Power BI analytics solutions to support business decision-making.Key Responsibilities<ul><li>Design, build, and maintain ETL/ELT pipelines for enterprise analytics.</li><li>Develop and enforce data quality, validation, and cleansing processes.</li><li>Build and manage data lakes and warehouses using Azure Data Factory, Databricks, Synapse, or similar tools.</li><li>Monitor data integrity, troubleshoot issues, and maintain metadata and data lineage.</li><li>Integrate data from multiple sources (ERP, CRM, APIs, IoT).</li><li>Ensure compliance with data protection and security standards (GDPR, ISO 27001, DPL).</li><li>Design, develop, and optimize Power BI dashboards, reports, and data models using DAX.</li><li>Implement row-level security, automate refresh schedules, and tune report performance.</li><li>Collaborate with business stakeholders to translate requirements into BI solutions.</li><li>Maintain technical documentation and stay updated on Power BI best practices.</li></ul>Skills &amp; Qualifications<ul><li>Experience in data engineering, ETL/ELT, and cloud data platforms.</li><li>Strong hands-on expertise in Databricks , Pyspark, Power BI, DAX, and data modeling.</li><li>Proficiency with Azure data services and SQL.</li><li>Knowledge of data governance, quality frameworks, and security controls.</li><li>Strong analytical and communication skills.</li></ul>Job Type: Full-timePay: AED8,000.00 - AED12,000.00 per monthApplication Question(s):<ul><li>Current Salary ?</li><li>Expected Salary ?</li><li>In how many days you can join us if shortlisted?</li><li>How many years of experience do you have in ETL design , Buil and mainatainence ?</li><li>This is an Onsite role for our client based in UAE , are you ok to work from UAE office (Abu Dhabi) ?</li><li>Have you gone through the JD and ok to perform all the responsibilties mentioned?</li><li>Please rate your English communication skills out of 10 (1 is lowest and 10 is highest)?</li><li>Please list your technical skills which makes you a fit for this role ?</li><li>This role requires day to day coding work (Pyspark &amp; SQL) , let us know your experience with Pyspark and SQL?</li><li>How many years of experience you have is Databricks (must have) ?</li><li>How many years of experience you have is Pyspark (must have)?</li></ul>

Data Engineer

Alpheya

<div>About Alpheya
We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America&rsquo;s oldest bank and first company to list on NYSE) and Lunate (a new $50B AUM alternative asset management firm based in Abu Dhabi, UAE). The company has raised $300M to build a state of the art wealth technology platform.
Our mission is to power and grow our clients&rsquo; Wealth franchises through differentiated experiences, financial solutions, and insights. Our digital wealth management platform- will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.
While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.
For more information, please visit www.alpheya.com
Role description and responsibilities
We're looking for a skilled Lead Data Engineer to contribute to the Python services that power our data platform. You'll help build and maintain high-throughput ETL pipelines that ingest real-time market data and expose it through secure CRUD APIs. Working alongside other backend and data engineers, you'll make sure data flows smoothly from external sources into our internal data platform.<ul>
<li>
Leadership: Lead a team of 2-3 Data Engineers to deliver production ready ETL pipelines and APIs exposing RAG and Agents capabilities.</li>
<li>Market-Data ETL Pipelines: Implement, test, and improve scalable ETL workflows that handle large volumes of data.</li>
<li>Async Orchestration &amp; Scheduling: Develop and maintain task queues with Async tools, helping the team meet SLAs and surface operational metrics.</li>
<li>API Implementation: Build REST endpoints with FastAPI Framework, providing clean CRUD access to market data and configuration entities.</li>
<li>Observability &amp; Reliability: Add structured logs, traces, and metrics; contribute alerts and dashboards (Prometheus/Grafana, OpenTelemetry) that keep services at 99.9 % + availability.</li>
<li>Code Quality &amp; Best Practices: Write type-safe, well-tested code, participate in code reviews, and help maintain CI/CD workflows.</li>
<li>Cross-Functional Collaboration: Work closely with data scientists, and product managers to translate data requirements into robust backend capabilities.</li>
</ul>
Requirements<ul>
<li>
Education - Master's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).</li>
<li>Experience - 5+ years building production Python backends for data-intensive applications.</li>
<li>Python Mastery - Modern Python (3.10 +) with asyncio, typing, dependency injection, and packaging best practices.</li>
<li>ETL Skills - Experience designing batch or streaming pipelines; comfort with Kafka, RabbitMQ, or similar tools.</li>
<li>Database Skills - Strong Postgres knowledge: migrations (Alembic, Django ORM), query tuning, partitioning, backup/restore.</li>
<li>Async Orchestration - Hands-on with async tools like Airflow, Dagster, or Celery for scheduling and monitoring jobs.</li>
<li>API Engineering - Proven ability to implement secure, versioned REST/GraphQL APIs with auth, rate-limiting, and RBAC.</li>
<li>Testing &amp; DevOps - Familiarity with Pytest, Docker, Kubernetes, Terraform, and GitHub Actions (or similar).</li>
<li>Soft Skills - Clear written and verbal communication; collaborative mindset.</li>
</ul>
Nice-to-Haves<ul>
<li>
Time-series or columnar DBs (TimescaleDB, ClickHouse, InfluxDB).</li>
<li>Knowledge of financial market-data protocols (FIX, FAST) or regulatory feeds.</li></ul></div>

Lead Data Engineer

Riverflex

<div>Job Title: Data Engineer &ndash; Automation &amp; AI
Location: UAE &ndash; Abu Dhabi or Dubai 
Engagement: Full-time (On-site) 
Contract duration: 3 months + possible extensions 
Start date: February 2026 
 
Riverflex is partnering with a leading financial institution in the UAE on a strategic Proof of Concept focused on increasing data engineering productivity through automation and AI. We are seeking a Data Engineer &ndash; Automation &amp; AI with strong GenAI and agent-based experience to own this PoC end-to-end, applying AI- and agent-assisted techniques to the design, migration, and development of AWS-based data pipelines. 
This role is explicitly focused on accelerating data engineering ways of working using AI, not solely on building pipelines. You will act as the internal lead on how AI should be applied in day-to-day data engineering, working closely with the partner&rsquo;s Data Lead and embedded with the on-site engineering team. A key part of the scope is translating legacy SQL and stored procedures into modern AWS Glue pipelines, while defining practical AI patterns, tool and guardrails that scale beyond the PoC. 
Responsibilities
Data engineering &amp; pipeline delivery<ul><li>
Design, build, and evolve AWS Glue&ndash;based data pipelines using Spark and SQL.</li><li>
Translate legacy SQL scripts and stored procedures into AWS Glue pipelines</li><li>
Ensure migrated and newly built pipelines meet agreed standards for correctness, performance, and maintainability.</li></ul>
AI-driven engineering acceleration<ul><li>
Apply Generative AI and agent-based techniques to accelerate data engineering tasks, including code generation/refactoring, pipeline dev. and standardisation</li><li>
Own the design and implementation of AI-assisted tooling that integrates directly into day-to-day engineering workflows</li><li>
Codify successful patterns, reusable tools, and recommended ways of working for scaling beyond the PoC</li></ul>
AI tooling &amp; experimentation<ul><li>
Work hands-on with Python and LLM APIs to build pragmatic, internal DE tools</li><li>
Design effective prompts &amp; interaction patterns for code generation &amp; transformation</li><li>
Evaluate and work with enterprise-grade AI platforms (e.g. AWS Bedrock, Azure AI Foundry) using GPT-4 / Claude-class models</li><li>
Define practical rules of thumb and guardrails (e.g. where automation works, where it breaks down, where human intervention is required).</li></ul>
Collaboration &amp; ways-of-working<ul><li>
Work closely with data and platform engineers to (dis)prove automation hypotheses and identify where AI adds real productivity gains vs. noise</li><li>
Document outcomes and recommendations from the PoC and provide clear guidance on how AI should (and should not) be used in data engineering at scale</li></ul><ul><li> 
6+ years of experience in data engineering or closely related engineering roles.</li><li>
Proven experience owning and shaping data engineering solutions, not only implementing individual pipelines.</li><li>
Strong hands-on experience with AWS-based data engineering, including:<ul><li>
AWS Glue (jobs, transformations, orchestration)</li><li>
Spark (batch processing and transformations)</li><li>
Advanced SQL (complex logic, optimisation, performance tuning)</li><li>
End-to-end pipeline and workflow design</li></ul></li><li>
Solid (Python) engineering experience, including building reusable components and internal tooling.</li><li>
Demonstrated, practical experience applying Generative AI in engineering workflows, such as:<ul><li>
Working with LLM APIs (e.g. AWS Bedrock, Azure AI Foundry, OpenAI)</li><li>
Prompt design for code generation, refactoring, and transformation</li><li>
Understanding the limitations, failure modes, and risks of LLM-based automation</li></ul></li><li>
Experience designing AI-assisted engineering workflows or tools, for example:<ul><li>
API-based services (e.g. FastAPI)</li><li>
MCP (or agent)-like orchestration patterns</li></ul></li><li>
Able to balance short-term PoC delivery with longer-term capability building.</li><li>
Experience in financial services or other regulated environments is a strong advantage.</li><li>
Ability to be based in the UAE for a minimum of 3 months, working full-time on-site (Abu Dhabi or Dubai).</li></ul> 
This is a unique opportunity to directly impact the data engineering capability of a major financial institution, with real, hands-on use of GenAI - while working on-site in the UAE, at the heart of one of the world&rsquo;s fastest-growing technology and financial hubs. You will operate in a high-impact setting alongside senior stakeholders on a greenfield AI for Data Engineering initiative with strong executive backing. If you are interested, we&rsquo;d love to connect. 
Apply now!</div>

Data Engineer - Automation & AI

ITPulse Innovative Technologies

We are seeking a highly motivated and technically proficient Data Center Engineer/Specialist who is responsible for the deployment, management, and maintenance of data center infrastructure, ensuring high availability, optimal performance, and compliance with industry standards. This role involves hands-on work with servers, storage, networking, and facility systems to support business operations.Key Responsibilities:<ul><li>Install, configure, and maintain servers, storage systems, and networking devices in the data center.</li><li>Monitor and manage data center infrastructure, including power, cooling, and environmental controls.</li><li>Perform capacity planning and implement upgrades to support business growth.</li><li>Manage and maintain backup, replication, and disaster recovery solutions.</li><li>Ensure high availability and reliability of data center systems (uptime, redundancy, failover).</li><li>Implement and monitor security policies for physical and logical access.</li><li>Troubleshoot hardware, software, network, and system issues promptly.</li><li>Collaborate with IT, network, and security teams to support enterprise applications.</li><li>Maintain detailed documentation of infrastructure, configurations, and procedures.</li><li>Participate in data center audits, compliance checks, and maintenance schedules.</li><li>Support migration, virtualization, and cloud integration projects as required.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s degree in computer science, Information Technology, or related field.</li><li>3&ndash;5 years of UAE experience in a similar presales or solution engineering role in the IT industry.</li><li>Driving License is a plus.</li><li>Proven experience as a Data Center Engineer, Specialist, or Systems Administrator.</li><li>Strong knowledge of servers, storage, networking, and virtualization technologies.</li><li>Hands-on experience with data center infrastructure management (DCIM, UPS, generators, cooling, and cabling).</li><li>Familiarity with operating systems: Windows Server, Linux, Unix.</li><li>Experience with backup and disaster recovery solutions.</li><li>Knowledge of network protocols, firewalls, switches, and routers.</li><li>Ability to troubleshoot complex IT systems under pressure.</li><li>Strong documentation, communication, and problem-solving skills.</li></ul>Key Competencies:<ul><li>Analytical and critical thinking</li><li>Team collaboration and stakeholder management</li><li>Time management and prioritization skills</li><li>Adaptability in a dynamic technology environment</li></ul>Interested candidates can send their CV to info@itpulse-innovative.comJob Type: Full-time

Data Center Engineer/Specialist

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking a Lakehouse Platform Engineer to serve as the lead architect and custodian of our enterprise data backbone. In this pivotal consultancy role, you will be responsible for the health, scalability, and evolution of our entire technology stack, ensuring that our Lakehouse architecture is not only reliable but optimized for high-performance AI and analytics. You will own the lifecycle of AWS Glue jobs, manage the intricacies of Apache Iceberg table registries, and operationalize industry-leading tools like OpenMetadata for governance and Soda Core for data quality. From designing robust Disaster Recovery (DR) scenarios to automating infrastructure via Terraform, your work will provide the foundation upon which our Data Factory squads build the future of intelligent enterprise systems.
As a consultant within our specialist firm, your technical prowess is matched by your ability to drive adoption. You will act as a bridge between platform engineering and business-critical operations, &quot;selling&quot; the value of self-service tooling and automated lineage to senior stakeholders. We are looking for a master problem-solver with 8+ years of experience&mdash;ideally within financial services or banking&mdash;who thrives in fast-paced, Agile environments. If you are passionate about decommissioning legacy technical debt while building state-of-the-art, automated data platforms that meet aggressive migration targets, you will find your home at DeepLight AI.
Your responsibilities as the AWS Lakehouse Platform Engineer:<ul>
<li>
Platform Management &amp; Optimization</li>
<li><ul><li>Manage and maintain Lakehouse components:</li>
<li><ul><li>Storage: S3 bucket configurations, lifecycle policies, storage optimization.</li>
<li>Compute: AWS Glue job management, optimization, DPU allocation.</li>
<li>Catalog: AWS Glue Data Catalog and Iceberg table registry.</li>
<li>Semantic Layer: Deploy and integrate with our semantic layer.</li>
<li>Governance: Deploy, configure, and upgrade OpenMetadata.</li>
<li>Quality: Maintain Soda Core infrastructure and integration.</li>
</ul></li><li>Apply Iceberg best practices for table optimization and maintenance.</li>
<li>Implement automated table maintenance processes.</li>
</ul></li><li>Self-Service &amp; Automation</li>
<li><ul><li>Deploy self-service tooling for Data Factory squads.</li>
<li>Implement automated lineage capture from Glue jobs.</li>
<li>Configure audit logging (CloudTrail, S3 access logs).</li>
</ul></li><li>Disaster Recovery &amp; Reliability</li>
<li><ul><li>Design and implement Disaster Recovery (DR) scenarios including failover, backup management, and runbooks.</li>
<li>Execute annual DR tests for the entire data landscape.</li>
<li>Ensure all critical platform components are monitored, with alerting and active follow-up.</li>
</ul></li><li>Migration &amp; Decommissioning</li>
<li><ul><li>Execute decommissioning roadmap.</li></ul></li>
<li>Collaboration</li>
<li><ul><li>Work closely with platform engineers and architects to ensure alignment on optimization and tooling.</li>
<li>Partner with operational teams for monitoring and alerting.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
You will have experience in: 
<ul>
<li>
data platform engineering or related roles, ideally a minimum of 8 years experience.
</li><li>managing Lakehouse platforms on AWS.</li>
<li>AWS services: S3, Glue, CloudTrail, Athena.</li>
<li>Apache Iceberg, OpenMetadata, and Soda Core.</li>
</ul>
You should also have knowledge of:<ul>
<li>
disaster recovery planning and execution.</li>
<li>infrastructure automation using Terraform and Git.</li>
<li>Kafka (MSK) and OpenSearch.</li>
<li>identifying ways to automate their work / repetitive tasks.</li>
<li>problem-solving and troubleshooting skills.</li>
<li>working cross-functionally and manage complex platform operations.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication skills.</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AWS Lakehouse Platform Engineer

Kyndryl

<div>Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
Are you ready to embark on an exhilarating journey as a Data Consultant? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner.
 
 
As a Data Consultant, your impact will be monumental. You will unleash the potential of data technology, collaborating with customers to envision and conceptualize strategic applications. By combining your deep understanding of business and technology, you will become a catalyst for success, delivering invaluable insights and recommendations that propel our customers' organizations forward.
 
 
Prepare to immerse yourself in the world of data strategies and programs, crafting ingenious approaches to collecting, storing, analyzing, and visualizing data from diverse sources. Your technical expertise in a vast array of cutting-edge big data tools will empower you to develop groundbreaking solutions tailored to meet the unique requirements of each customer.
 
 
But that's not all &ndash; your role as a Data Consultant at Kyndryl will transcend traditional boundaries. You will lead captivating workshops and engaging consulting engagements, helping customers forge data-driven strategies that reshape their future. Educating our customers about the latest Data Science technologies and frameworks will be second nature to you, enabling them to unlock the full potential of their data resources.
 
 
Armed with an analytical approach, you will unveil strategies, assessments, recommendations, and comprehensive plans to address complex issues while seamlessly aligning both the technical and functional requirements of IT and the business. Your deep consulting skills and business acumen will be harnessed to analyze customer business issues, formulate hypotheses, and test conclusions, ultimately delivering data solutions that defy expectations.
 
 
If you have a passion for turning data into a force for change and thrive in a dynamic, fast-paced environment, this is your chance to shine! Unleash your creativity, embrace innovation, and become a master of efficiency as you create solutions that revolutionize customer business and IT landscapes. Join Kyndryl and become part of a remarkable team that turns data into success stories.
 
 
Your Future at Kyndryl
 
As a Data Consultant at Kyndryl you will join the Kyndryl Consultant Profession, working with other Kyndryl Consultants, Architects, Project Managers, and cross-functional Technical Subject Matter Experts &ndash; presenting unlimited opportunities with unmatched support through our investment in your learning, training, and career growth.
Who You Are
<div>You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
 
 
Required Skills and Experience
 
 
<ul><li>&gt;2 years of experience in data consulting, with a proven track record of delivering transformative solutions
</li><li>Excellent communication and interpersonal skills with the ability to communicate confidently and professionally with all levels of the organization
</li><li>Skilled in tailoring insights to present clearly to technical and non-technical audiences
</li><li>Understands CrispDM methodology and/or Six Sigma's DMAIC
</li><li>Familiarity with microservice architecture
</li><li>Client-facing experience as a data engineer/consultant
</li><li>In-depth understanding of analytics and data science
</li><li>Up-to-date knowledge of current data tools and industry changes and analyze big data
</li></ul> 
Preferred Skills and Experience
 
 
<ul><li>Bachelor's degree in Computer Science, Information Security, or a related field
</li><li>Skilled in planning, organization, analytics, and problem-solving
</li><li>Excellent communication and interpersonal skills to work collaboratively with clients and team members
</li><li>Comfortable working with statistics
</li></ul></div>Being You
Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way.
What You Can Expect
As a graduate or an intern, Kyndryl is a great place to kickstart your career. You will contribute to our business from day one and get access to some incredible learning opportunities to build your skills for your future. You&rsquo;ll also collaborate with global teams, take advantage of mentorship opportunities and get involved in volunteer community activities &ndash; all in a dynamic, start up atmosphere, filled with industry experts.
Get Referred!
 
If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</div>

Technical Associate (Emirati)

iTech Management Consultancy

<div>Job Title: Senior BIM Engineer (Infra)
Reports to: BIM Manager

Job Description Summary
The Senior BIM Engineer (Infrastructure) plays a pivotal role in supporting BIM coordination and project delivery for civil infrastructure projects, including roads, parking, and utilities (dry &amp; wet). Positioned above the BIM Engineer/Modeler and reporting to the BIM Coordinator, this role focuses on integrating multi-disciplinary models, ensuring compliance with ISO 19650 standards, preparing submission packages, conducting clash detection, and maintaining the Common Data Environment (CDE). The Senior BIM Engineer will also handle advanced modeling tasks, LOD customization, point cloud conversions, and IFC management while providing technical guidance to junior BIM team members.

General Responsibilities
BIM Management and Coordination
<ul>
<li>Lead and chair BIM coordination meetings with BIM Engineer/Modeler support, across all disciplines (Civil, Structural, MEP, Utilities).</li>
<li>Manage the Common Data Environment (CDE) using BIM 360/ACC, ensuring proper workflows for model sharing, review, and approval.</li>
<li>Prepare submission packages including coordinated models, clash reports, QA/QC checklists, TIDP, and MIDP in compliance with ISO 19650.</li>
<li>Provide technical guidance and mentorship to BIM Engineers/Modelers on modeling best practices and standards.</li>
</ul>
Project Delivery, Software &amp; Standards
<ul>
<li>Establish and enforce project-specific BIM standards, including LOD specifications for roads, highways, and wet &amp; dry utilities.</li>
<li>Coordinate integration of models from multiple teams and contractors.</li>
<li>Create detailed manholes in Part Builder and customize road assemblies in Assembly Composer.</li>
<li>Run regular multi-disciplinary clash detection reports using Navisworks Manage.</li>
<li>Identify, report, and track clashes to resolution, collaborating with engineers to find technical solutions.</li>
<li>Validate and report model coordination status to the BIM Coordinator and project leadership.</li>
</ul>
Point Cloud &amp; Data Management
<ul>
<li>Convert point cloud data to BIM models with customizable LOD to meet project requirements.</li>
<li>Create COBie spreadsheets, map IFC 4.3 files, generate reports, and produce JSON files for IFC submissions.</li>
<li>Manage as-built condition reports and OEM data..
</li></ul>Desirable Skills
<ul>
<li>Experience in utilities modeling (dry and wet), road assemblies, and point cloud integration.</li>
<li>Ability to prepare submission packages, clash reports, and manage comprehensive CDE workflows.</li></ul>

Qualifications &amp; Experience
<ul>
<li>Bachelors degree in Civil Engineering, Construction, or related field.</li>
<li>Minimum 5 years of experience in BIM for civil infrastructure projects.</li>
<li>Strong knowledge of ISO 19650 standards, LOD specifications, and multi-disciplinary coordination.</li>
<li>Excellent problem-solving, communication, and leadership skills.</li>
<li>Software Proficiency: Civil 3D, Navisworks Manage, Dynamo, InfraWorks, BIM 360/ACC, Inventor</li>
</ul><ul><li>Autodesk Certified Professional (ACP) Certification.</li><li>
Understanding of Construction Documentation</li></ul></div>

Senior BIM Engineer (Infra)

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