project engineer

it support engineer

technical sales engineer

ai developer

backend developer

automation software engineer

Mind Stream

<p><b>Hiring &ndash; Software Engineer</b><br/><b>Duration:</b> 6 Months (Extendable) | <b>Salary:</b> QAR 13,000 Full Package</p><p><b>Skills Required:</b> AEM Core Components, Agile, JSON, JavaScript</p><p><b>JD Highlights:</b></p><ul><li><b>Adobe Tools:</b> AEP, Journey Orchestration &amp; Optimizer, Customer Journey Analytics, Adobe Campaign Classic, Adobe Launch, Adobe Runtime [IO]</li><li><b>Programming &amp; Scripting:</b> Java, JavaScript, HTML, CSS, Node.js, Shell Script</li><li><b>Databases:</b> MySQL, Oracle 11g, PostgreSQL</li><li><b>Testing Tools:</b> Selenium, UFT</li></ul><p>Job Type: Full-time</p><p>Pay: AED11,000.00 - AED13,000.00 per month</p><p>Application Question(s):</p><ul><li>How many years of experience do you have as a Software Engineer?</li><li>Do you have hands-on experience with Adobe Experience Manager (AEM) Core Components?</li><li>Are you familiar with the following Adobe tools? (Please mention)</li></ul><p>AEP</p><p>Journey Orchestration / Journey Optimizer</p><p>Customer Journey Analytics</p><p>Adobe Campaign Classic</p><p>Adobe Launch</p><p>Adobe Runtime [IO]</p><ul><li>Please rate your proficiency in JavaScript, Java, HTML, CSS, Node.js, Shell Script.</li></ul><p>Beginner / Intermediate / Advanced</p><ul><li>Have you used testing tools like Selenium or UFT?</li><li>Are you comfortable working on a 6-month contract (extendable) in Qatar?</li><li>Are you okay with the offered salary: QAR 13,000 full package?</li></ul>

AEM - Software Engineer

Inoviotech

<p><b>Position Overview:</b></p><p>We are seeking an experienced Project Manager with a proven track record of managing Workflow automation , <b>AI Products and Services, </b>software development projects</p><p><b>Key Responsibilities:</b></p><ul><li>Be the point of reference for after-sales customers, managing their needs and requests in a professional and timely manner</li><li>Communicate regularly with customers, providing updates on solution progress and ensuring an excellent customer experience.</li><li>Manage end-to-end software development, Planning, integration, testing, implementation, and maintenance of multiple projects as per Standards.</li><li>Knows how to leverage AI in the cycle and is familiar with AI Workflow Automation</li><li>Control the status and successful delivery of all technology projects to ensure maximum business value.</li><li>Recognizing and mitigating risk in the agreed delivery to the customer, managing and communicating any concerns to minimize impact</li><li>Assist software engineering teams through distinct phases of the Software Development Life Cycle (SDLC), including requirements management, application design, software development, software testing, and deployment.</li><li>Assist with the implementation of established project management methodologies and governance standards aligned with the PMO's objectives.</li><li>Participate in tenders and pre-project analysis, prepare relevant documentation(Commercial proposal, Functional requirements, Project charter, Resource budgeting).</li></ul><p><b>Requirements:</b></p><ul><li>Strong technical skills in AI, mobile and web applications, systems integration, quality assurance, and product release and support.</li><li>Ability to develop detailed project and product plans, manage deadlines, and quickly grasp issues.</li><li>Demonstrated problem-solving skills, Strong customer dealing skills</li><li>Strong Familiarity with software development technologies ( Python, PHP , Laravel .Nodejs, CSS and other languages</li></ul><p><b>Nice-to-Haves:</b></p><ul><li>Past AI Experience</li></ul><p>Job Type: Full-time</p><p>Pay: AED8,000.00 - AED10,000.00 per month</p><p>Application Question(s):</p><ul><li>What is your current Salary?</li><li>What is your expected salary?</li><li>Immediately available?</li></ul>

Arabic Female Project Manager - AI Automation

Fuse Energy

<div><p>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.<br>
<br>
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.<br>
<br>
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.<br>
<br>
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.</p><h3 class="jobSectionHeader"><b><br>
</b><br>
<b>Responsibilities</b></h3><ul>
<li>Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li>
<li>Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows</li>
<li>Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li>
<li>Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li>
<li>Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li>
<li>Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space</li>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively<br>
<li>
</li></ul><p><b>Requirements</b></p><ul><li>
Minimum 3 years of engineering experience</li></ul><ul>
<li>Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li>
<li>Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li>
<li>Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li>
<li>Solid understanding of cloud technologies, containerisation and building scalable AI applications</li>
<li>Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li>
<li>Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li>
<li>Experience working with large datasets, particularly in relation to demand and supply forecasting</li>
</ul><p><b>Bonus</b></p><ul>
<li>Experience or strong interest in energy markets and trading strategies</li>
<li>Understanding of weather forecasting, energy demand patterns, and production modelling</li>
<li>Exposure to Natural Language Processing (NLP) or other related fields</li>
</ul><p><b>Benefits</b></p><ul>
<li>Competitive salary and an equity sign-on bonus</li>
<li>Biannual bonus scheme</li>
<li>Fully expensed tech to match your needs</li>
<li>Paid annual leave</li>
<li>Breakfast and dinner for office based employees</li></ul></div>

Applied AI Engineer

Rapyd

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Rapyd has unified payments, payouts and fintech on one worldwide platform, and we&rsquo;re assembling the world&rsquo;s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.
 <br/>
 <br/>
 We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let&rsquo;s build the future of fintech together.
 <br/>
 <br/>
 We&rsquo;re looking for a builder with a backend backbone&mdash;someone who can spot an opportunity, sketch a solution, and ship a working service fast. You&rsquo;ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.
 <br/>
 <br/>
 You&rsquo;ll work at the edge of what&rsquo;s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.
 <br/>
 <br/>
 Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, Twitter
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and scale backend services and RESTful APIs to power AI-driven features.
  </li>
  <li>
   Develop and iterate on LLM-based applications, including context-aware pipelines (e.g. with vector-store retrieval).
  </li>
  <li>
   Own the full lifecycle: prototyping, evaluation, deployment, monitoring, and continuous iteration.
  </li>
  <li>
   Define KPIs, run experiments, and optimize systems based on metrics and data.
  </li>
  <li>
   Collaborate across product, data, and engineering to translate ideas into robust, shippable systems.
  </li>
  <li>
   Stay current with the evolving LLM/agent ecosystem and rapidly apply new tools or protocols (e.g., MCP).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 What you&rsquo;ll need (core requirements):
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of professional software development experience with a strong backend focus.
  </li>
  <li>
   Experience with advanced LLM workflows: prompt engineering, inference optimization, fine-tuning, and evaluation.
  </li>
  <li>
   Demonstrated experience integrating generative models with external knowledge (via RAG or similar patterns).
  </li>
  <li>
   Practical knowledge of embeddings and vector databases (e.g. FAISS, Pinecone).
  </li>
  <li>
   Experience building and scaling data pipelines for LLM ingestion and retrieval.
  </li>
  <li>
   Strong communication skills, bias for action, and ability to thrive in fast-paced environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus / Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous work with agent frameworks or context protocols.
  </li>
  <li>
   Experience with Agile practices and a habit of staying on top of AI research and tooling.
  </li>
  <li>
   Hands-on experience designing and building microservices architectures.
   <br/>
   <br/>
  </li>
 </ul>
 Job Candidate Privacy Policy &ndash; https://www.rapyd.net/candidate-privacy-policy
</div>


AI Software Engineer

neo immigration consultants - fzco

<p><b>Job Title: Electrical Engineer &ndash; Home Automation</b></p><p><b>Overview:</b><br/>We are seeking a skilled and detail-oriented <b>Electrical Engineer</b> with at least 2 years of experience to join our dynamic home automation company. The ideal candidate must be <b>experienced with KNX, DALI, and advanced building automation systems</b>, handling system design, documentation, authority approvals, and on-site supervision to ensure projects are delivered with technical excellence.</p><p><b>Key Responsibilities:</b></p><ul><li><b>System Design &amp; Estimation:</b> Prepare cost estimates, quotations, and detailed automation designs including <b>KNX, DALI, GRMS, lighting control, and HVAC integrations.</b></li><li><b>Technical Drawings &amp; Documentation:</b> Develop electrical schematics and 2D/3D layouts, produce as-built drawings, and manage authority/developer approval documentation.</li><li><b>Client &amp; Consultant Interaction:</b> Participate in meetings, present technical proposals, provide progress reports, and deliver technical support throughout the project lifecycle.</li><li><b>Site Supervision &amp; Execution:</b> Conduct site inspections, oversee cabling, device integration, testing, and commissioning, ensuring adherence to safety and design standards.</li><li><b>Materials &amp; Procurement:</b> Prepare BOQs, support vendor coordination, and carry out technical evaluations for procurement.</li></ul><p><b>Candidate Requirements:</b></p><ul><li>Minimum 2 years of experience in home automation/electrical systems.</li><li><b>Strong knowledge of KNX, DALI, GRMS, and building automation technologies.</b></li><li>Skilled in preparing drawings, schematics, and technical documentation.</li><li>Practical experience in site supervision, installation, and commissioning.</li><li><b>Valid driving license preferred.</b></li><li><b>Excellent communication, coordination, and problem-solving abilities.</b></li></ul><p><b>Benefits:</b></p><ul><li>Company-provided accommodation.</li><li>Daily meals offered.</li><li>Visa sponsorship.</li><li>Comprehensive health insurance.</li></ul><p>Job Type: Full-time</p><p>Pay: AED3,500.00 - AED4,000.00 per month</p><p>Application Question(s):</p><ul><li>Do you have proven hands-on experience with KNX, DALI, GRMS, and other building automation technologies?</li></ul><p>Experience:</p><ul><li>home automation engineering: 1 year (Required)</li></ul><p>License/Certification:</p><ul><li>driving license (Required)</li></ul>

Electrical Engineer

<p><b>Job Title: Home Automation Engineer</b></p><p><b>Job Summary</b><br/>We are seeking a highly skilled and detail-oriented <b>Home Automation Engineer</b> with a minimum of <b>2 years of GCC experience</b>. The successful candidate will have extensive expertise in <b>KNX, DALI, and smart building systems</b> and will be responsible for managing system designs, technical documentation, authority approvals, and overseeing site installations. This role requires strong technical knowledge, excellent coordination skills, and the ability to ensure projects are executed to the highest standards.</p><p><b>Key Responsibilities</b></p><p><b>1. System Design &amp; Quotation</b></p><ul><li>Prepare detailed quotations based on project specifications and client requirements.</li><li>Design automation layouts including KNX, DALI, GRMS, lighting control, and HVAC integration.</li></ul><p><b>2. Drawing &amp; Documentation</b></p><ul><li>Prepare and review 2D technical drawings and schematics.</li><li>Coordinate with draftsmen to produce accurate 3D and as-built drawings.</li><li>Manage documentation for approvals from authorities and developers.</li></ul><p><b>3. Client &amp; Consultant Coordination</b></p><ul><li>Attend client and consultant meetings to present technical solutions and project updates.</li><li>Provide ongoing technical support to ensure all client requirements are met.</li></ul><p><b>4. Site Supervision &amp; Installation</b></p><ul><li>Conduct site inspections to monitor installations and ensure compliance with approved designs and safety standards.</li><li>Supervise cabling, terminations, device integration, and commissioning activities.</li><li>Troubleshoot and resolve on-site technical issues efficiently.</li></ul><p><b>5. Material &amp; Procurement</b></p><ul><li>Prepare Bill of Quantities (BOQ) for automation devices, control panels, and cabling.</li><li>Support the procurement process through technical evaluations and vendor coordination.</li></ul><p><b>Requirements</b></p><ul><li>Minimum of 2 years GCC experience in home automation systems.</li><li>Proven expertise in KNX, DALI, GRMS, and building automation technologies.</li><li>Strong experience in preparing technical drawings, schematics, and project documentation.</li><li>Hands-on experience in site supervision, installation, and commissioning.</li><li>Valid driving license is preferred.</li><li>Excellent communication, coordination, and problem-solving skills.</li></ul><p><b>What We Offer</b></p><ul><li>Fully arranged accommodation to ensure a comfortable living environment.</li><li>Daily meals included to allow employees to focus fully on their responsibilities.</li><li>Visa sponsorship to facilitate relocation and residency requirements.</li><li>Comprehensive health insurance coverage.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: AED3,500.00 - AED4,000.00 per month</p><p>Experience:</p><ul><li>Automation Engineering: 2 years (Required)</li></ul><p>Location:</p><ul><li>Dubai (Required)</li></ul>

Home Automation Engineer

<div><div><b><i>About Emirates Global Aluminium</i></b><i>
</i></div><div>Emirates Global Aluminium is the world&rsquo;s biggest &lsquo;premium aluminium&rsquo; producer and the largest industrial company in the United Arab Emirates outside the oil and gas industry. EGA is an integrated aluminium producer, with operations on four continents from bauxite mining to the production of cast primary aluminium and recycling. EGA employs over 7,000 of these people including more than 1,200 UAE Nationals. EGA operates aluminium smelters in Jebel Ali and Al Taweelah in the United Arab Emirates, an alumina refinery in Al Taweelah, a bauxite mine and associated export facilities in the Republic of Guinea, a speciality foundry in high strength recycled aluminium in Germany, and a recycling plant in the United States.</div>
<div><b>
JOB PURPOSE:</b><br>
The Lead Data Ops Engineer will play a critical role in building, scaling, automating, and maintaining the company's Big Data infrastructure and Machine Learning operations (MLOps). This individual will work in close collaboration with our Data Architect, Data Science, Data Engineering, and IT teams to ensure the development, deployment and scale of robust, high-performance data processing systems and ML models.</div><br>
<div></div>
<div><b>KEY ACCOUNTABILITIES:</b></div>
<ul><li><div><b>Big Data Infrastructure:</b> Design, build, and maintain high-performance, cloud-based, fault-tolerant, scalable distributed Data infrastructure that supports the company&rsquo;s data-intensive applications. (Real time/Batch/LLM&rsquo;s). This includes developing strategies for data storage (TB&rsquo;s), processing, and analysis, and implementing high-performance, scalable data pipelines for ML models and data products, supporting up to 50-60 use cases a year and thousands of IoT devices.</div>
</li><li><div>Create infrastructure as Code, perform configuration and set up managed data services. Build and deploy a data science playground for research and prototyping for the professional and citizen data science program being rolled out and supporting 15-20 citizen data scientists/ambassadors.</div>
</li><li><div><b>Machine Learning Operations (MLOps):</b> Develop and manage the ML operational process, working closely with the data science team to implement ML models into production, including edge. This includes streamlining the ML lifecycle, from model development and testing to deployment and implementing the monitoring and alerting strategy.</div>
</li><li><div><b>Automation and Scalability:</b> Implement automation tools and frameworks to manage system updates/changes. Ensure that all systems and infrastructures can scale effectively with the increase in IoT sensors and devices.</div>
</li><li><div><b>Continuous Integration and Deployment (CI/CD):</b> Oversee continuous integration and continuous deployment practices for the data and ML pipeline, ensuring that software can be reliably released at any time.</div>
</li><li><div><b>System Monitoring and Reliability:</b> Monitor system performance and reliability to ensure high levels of performance, availability, and security. This includes identifying and fixing potential and existing system issues. Collaboration and Communication: Strong collaboration with Data Architect/Engineer, data scientists for the implementation and testing of new data services to provide an elastic data infrastructure.</div>
</li><li><div><b>Security:</b> Oversee and ensure that all Big Data and ML Ops platforms comply with the company's security standards and policies.</div>
</li><li><div><b>Mentorship and Leadership:</b> Act as a mentor to junior data members, providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</div>
</li><li><div><b>Innovation and Continuous Improvement:</b> Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency.</div>
</li><li><div><b>Problem Solving:</b> Anticipate and resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity.</div><br>
</li></ul><div></div><div><b>AUTHORITY/DECISION MAKING:</b></div>
<ul><li><div><b>Infrastructure Design:</b> Decide on the most effective design and implementation of the company's Big Data infrastructure.</div>
</li><li><div><b>ML Ops Process:</b> Make key decisions on the ML operational process, ensuring that ML models can be effectively integrated into production.</div>
</li><li><div><b>Automation Tools:</b> Choose the most appropriate automation tools and frameworks for the company's needs.</div>
</li><li><div><b>CI/CD Practices:</b> Determine the best practices for continuous integration and deployment in the context of the company's operations.</div>
</li><li><div><b>System Monitoring:</b> Make decisions on system monitoring strategies, including the selection of tools and responses to system performance metrics.</div>
</li><li><div><b>Security Policies:</b> Have a say in the implementation of security policies as they pertain to the Big Data and ML Ops platforms.</div>
</li><li><div><b>Budget and Costing:</b> Taking ownership of managing data platform costs and relevant data services.</div><br>
</li></ul><div></div><div><b>QUALIFICATIONS &amp; SKILLS:</b></div>
<div><b>Domain Expertise:</b></div>
<ul><li><div>Bachelor&rsquo;s degree required, MS or PhD preferred.</div>
</li><li><div>Bachelor&rsquo;s in Data Science, Computer Science, Engineering, Statistics and 10+ years of relevant experience.</div>
</li><li><div>Experience: A minimum of 5-7 years of experience in a DevOps role, with a focus on managing Big Data infrastructures and MLOps.</div>
</li></ul><div><b>Technical Skills:</b></div>
<ul><li><div>Strong experience with Big Data technologies such as Hadoop, Spark, Kafka, etc.</div>
</li><li><div>Proven expertise in managing and deploying ML models into production.</div>
</li><li><div>Proficient in using CI/CD tools like Jenkins, Travis CI, CircleCI, etc.</div>
</li><li><div>Proficient in using infrastructure automation tools like Terraform, Chef, Puppet, Ansible, etc.</div>
</li><li><div>Strong knowledge of cloud platforms such as Azure (AWS, GCP).</div>
</li><li><div>Experience with containerization technologies like Docker, Kubernetes, etc.</div>
</li><li><div>Familiarity with various database technologies, both SQL and NoSQL.</div>
</li><li><div>Proficiency in programming languages such as Python, Java, or Scala.</div>
</li><li><div>Experience of leveraging MS/Azure ecosystem to manage the development and maintenance of cloud platform operations.</div>
</li><li><div>A broad set of technical skills and knowledge across hardware, software, systems and solutions development.</div>
</li><li><div>A proven track record of using quantitative analysis to impact key business or product decisions.</div>
</li><li><div>Solid grasp of and experience with implementing and operating software development methodologies.</div>
</li><li><div>A solid grasp of common statistical applications and methods (A/B tests and multivariate experiments, probabilities, regression).</div>
</li><li><div>Understanding of Agile Software Development Lifecycle and project planning/execution skills.</div>
</li><li><div>Outstanding communication skills with stakeholders at all levels, managing stakeholders&rsquo; expectations and facilitating discussions across high-risk or complexity under constrained timescales.</div>
</li><li><div>Outstanding capability to establish enterprise-scale data integration procedures across the data development life cycle and ensure that teams adhere to these. Able to manage resources to ensure that data services work effectively at an enterprise level.</div>
</li><li><div>Up to date with data innovation and expert in investigating emerging trends in data-related approaches, performing horizon-scanning for the organization and introducing innovative ways of working.</div>
</li><li><div>Expert in Data integration design and can establish standards and well informed on best practices across different industries. The candidate can distinguish how to keep those standards up to date and ensures adherence to them.</div>
</li><li><div>Good understanding of concepts and principles of data modeling and can produce, maintain and update relevant data models for specific business needs. Also, shows good knowledge on how to reverse-engineer data models from a live system.</div>
</li><li><div>Expert in Metadata management and understands how metadata repositories can support different areas of the business. Capable of promoting and communicating the value of metadata repositories and knows how to set up robust governance processes to keep repositories up to date.</div>
</li><li><div>Expert in identifying and anticipating problems and knowing how to prevent them by linking how problems fit into the larger picture. Has the ability to identify and describe problems, help others to describe them, and build problem-solving capabilities in others.</div>
</li><li><div>Expert in setting up team-based data engineering standards for programming tools and techniques and can select appropriate development methods. Acts as an advisor on the application of standards and methods and ensures compliance while taking technical responsibility for all stages and/or iterations in a software development project, providing method-specific technical advice and guidance to project stakeholders.</div>
</li><li><div>Technical Expert in predicting and advising on data engineering future technology changes that present opportunities for a product or program.</div>
</li><li><div>Experienced with reviewing requirements, specifications and defining test conditions with good understanding on how to identify issues and risks associated with work while being able to analyze and report test activities and results.</div>
</li></ul><div><b>Agile/Digital Experience:</b></div>
<ul><li><div>Experience in Agile Development, with specific Data Engineer/Data Architect (or similar) experience preferred.</div>
</li><li><div>Understands relationships with Product Owner, Agile Coach, Data Scientist, Designer, and the rest of the technical team.</div>
</li></ul><div><b>Individual Skills:</b></div>
<ul><li><div>Exceptional problem-solving skills: demonstrated ability to understand business challenges, structure complex problems, develop solutions.</div>
</li><li><div>Ability to partner and influence key business stakeholders at all levels of the organization.</div>
</li><li><div>Strong skills in team leadership and networking, ability to work across multiple organizations to accomplish diverse goals.</div>
</li><li><div>Exceptional presentation, written, and verbal communication skills.</div>
</li><li><div>Strong communication skills with the ability to align the organization on complex technical decisions.</div>
</li><li><div>Active coach and mentor whose goal is to grow and maximize the team&rsquo;s potential.</div>
</li><li><div>Strong ability and enthusiasm around data strategy and ability to inspire team and organization around the usage of data.</div>
</li></ul><div><b>Mindset &amp; Behaviors:</b></div>
<ul><li><div>High energy and passionate individual who inspires teammates to reach their maximum potential.</div>
</li><li><div>Empathetic coach who can help develop a new group of highly motivated data engineers.</div>
</li><li><div>Excited about trying new solutions outside standard approval.</div>
</li><li><div>Invested in developing a culture of trust, free thought, and complete transparency.</div></li></ul></div>

Lead Data Ops Engineer

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