senior data warehouse architect

MA'ADEN

<div>About Maaden
Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia&rsquo;s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.
Job purpose
The Principal Specialist, Data Modeling &amp; Architecture (OT) is the architectural authority for modeling operational technology (OT) and industrial data, ensuring consistent representation of assets, events, measurements, and production contexts across plants, sites, and operational systems. The role enables trusted OT analytics by defining standard models that align historians, SCADA/DCS, condition monitoring, and maintenance data with enterprise IT data products.
The position ensures OT constraints&mdash;such as high-volume time-series data, latency requirements, site variability, and intermittent connectivity&mdash;are addressed through practical modeling patterns, semantic consistency, and governance-by-design across OT-to-IT integration.
Key Accountabilities
<div><ul><li>Define OT data modeling standards for time-series, events, alarms, and asset hierarchies to support operational analytics and reliability use cases.
</li></ul><ul><li>Establish canonical OT concepts (asset, tag, measurement, work order linkage, location hierarchy) and ensure consistent adoption across sites and solutions.
</li></ul><ul><li>Architect OT-to-IT data alignment patterns that map operational measurements to enterprise entities for cross-domain reporting and performance analysis.
</li></ul><ul><li>Ensure OT models account for historian characteristics (high frequency, compression, interpolation, quality flags) and streaming ingestion patterns.
</li></ul><ul><li>Design scalable schemas for curated OT layers and OT data products, including auditability, lineage, and quality attributes.
</li></ul><ul><li>Partner with OT engineering, cyber/security, and platform teams to ensure secure, segmented, and compliant design for OT data flows.
</li></ul><ul><li>Review OT data solution designs and vendor deliverables; provide design authority to resolve modeling trade-offs and ensure long-term maintainability.
</li></ul><ul><li>Define reusable patterns for site onboarding and variability handling (naming normalization, tag mapping, unit standardization, reference data).
</li></ul>Coach engineers and modelers on OT semantics and modeling best practices; lead design reviews for critical OT initiatives. 
<ul><li>
</li></ul></div>Minimum Qualification, Experience and Competencies
Minimum Qualification
<ul><li>Bachelor&rsquo;s degree in Computer Science/Engineering, Industrial Engineering, Data Engineering, or related field.
</li><li>Master&rsquo;s degree preferred; OT/industrial systems background is an advantage.
</li></ul>Minimum Experience
<ul><li>10&ndash;15 years of experience in data modeling/architecture with demonstrated exposure to OT/industrial data landscapes.
</li><li>Experience working with historians, industrial protocols/systems, and integrating OT data into enterprise analytics platforms.
</li></ul>Maaden High Performance Competencies
<ul><li>Strategic Thinking &amp; Decision Making &ndash; Anticipates implications and guides enterprise direction.
</li><li>Collaboration &amp; Influencing &ndash; Aligns diverse stakeholders without direct authority.
</li><li>Execution Excellence &ndash; Sets high standards and ensures measurable outcomes.
</li><li>Innovation &amp; Adaptability &ndash; Applies modern practices and evolves standards pragmatically.
</li><li>Change Leadership &ndash; Drives adoption, governance, and continuous improvement.
</li></ul>Skills
<ul><li>Deep understanding of OT data characteristics (time-series, events, alarms, quality flags) and asset hierarchies.
</li><li>Ability to model and integrate OT and IT data for enterprise analytics and operational performance reporting.
</li><li>Knowledge of SCADA/DCS/historians, sensors, and industrial context; familiarity with reliability/maintenance data linkages.
</li><li>Strong governance-by-design mindset including classification, access control, and auditability for industrial data.
</li><li>Stakeholder engagement across plant/site operations, OT engineering, IT, and data platform teams.</li></ul></div>

Principal Specialist, Data Modeling & Arch (OT)

Robusta

<div>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.
Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.
Job Overview
The Microsoft Dynamics 365 Senior Consultant is responsible for managing, enhancing, and optimizing Theeb&rsquo;s Dynamics 365 platform across all departments. The role ensures business alignment, drives continuous improvement, and leads integration efforts with other core systems such as CarPro, Salesforce, MuleSoft, and the Data Warehouse. This position combines technical expertise and business process knowledge to deliver scalable, efficient, and user-centric solutions that support Theeb&rsquo;s digital transformation goals
Job Responsibilities<ul><li>
Manage and support the overall Dynamics 365 environment, ensuring stability, functionality, and alignment with business needs.</li><li>
Collaborate with stakeholders to identify enhancement opportunities, define requirements, and implement solutions.</li><li>
Work with external partners and internal teams to deploy new modules and features.</li><li>
Ensure proper system configuration, data integrity, and security controls.</li><li>
Lead integrations between Dynamics 365 and other enterprise platforms (CarPro, Salesforce, MuleSoft, Data Warehouse).</li><li>
Conduct gap analysis and develop improvement plans for process optimization.</li><li>
Provide user training, documentation, and post-deployment support.</li><li>
Oversee change management, testing, and release management activities.</li><li>
Ensure compliance with IT policies, data governance, and audit requirements.</li><li>
Act as Theeb&rsquo;s subject matter expert on Dynamics 365 applications and related business processes.</li></ul> 
Requirements 
<ul><li>
Bachelor&rsquo;s degree in Information Systems, Computer Science, or Business Administration.</li><li>
7+ years of experience in implementing and managing Microsoft Dynamics 365 (Finance, Operations, or CRM).</li><li>
Hands-on experience integrating Dynamics 365 with third-party systems and APIs.</li><li>
Preferred certifications: Microsoft Certified Dynamics 365 Functional Consultant or Solution Architect.</li><li>
Strong analytical, problem-solving, and project management skills.</li><li>
Excellent communication and stakeholder engagement abilities.</li><li>
Fluent in both Arabic and English</li></ul></div>

Microsoft Dynamics 365 Functional Consultant - Octopus by RTG

Microsoft Dynamics 365 Senior Financial Consultant - Octopus by RTG

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented, creative, and collaborative? Then this is the position for you. 
 
As a Delivery Consultant specializing in Data Engineering &amp; Architecture, you will provide exceptional technical design and thought leadership for cloud data applications, working with a world-class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data-driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture. 
 
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 
 
This is a customer-facing role. You will work from one of the listed locations (or customer sites) Monday through Friday each week. Travel to client locations to deliver professional services may be required. This is not a remote position. 
 
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. 
 
Key job responsibilities 
As an experienced data professional, you will be responsible for: 
 
<ul><li>Helping clarify customer business outcomes during project discovery and translating them into data architecture and engineering solutions</li><li>Designing and building data analytics applications that are secure, scalable, reliable, performant, and cost-effective</li><li>Collaborating with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies</li><li>Identifying, mitigating, and communicating risks related to solution and service constraints by making informed technical trade-offs</li><li>Acting as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions</li><li>Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts</li></ul> 
About the team 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
Inclusive Team Culture
 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
 
 
Mentorship and Career Growth
 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science, engineering, mathematics or equivalent</li><li>5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience</li><li>Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code</li><li>Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning</li><li>Current, active US Government Security Clearance of Top Secret or above</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda</li><li>Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization</li><li>Experience leading end-to-end data engineering projects including migrating on-premises data applications to cloud-native architectures</li><li>Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures</li><li>Knowledge of security and compliance standards (e.g., FedRAMP, NIST, HIPAA)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually 
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually</div>

Senior Data Engineer/Architect, WWPS ProServe Data and Machine Learning

RedCloud Technologies

<div>Lead Data Engineer
About RedCloud
The global supply chain is broken&mdash;creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.
RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain&mdash;enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment&mdash;facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.
Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We&rsquo;re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.
The role:
A Lead Data Engineer builds, maintains and supports our data warehouse, delivering data to the whole business in an easy, performant and readable format. They are the core engineers that empower the data behind our AI strategies and business decisions. They will work in a squad along side data scientists and AI engineers allowing for a whole picture on how the data is used. The ideal candidate will have Technical skills across SQL, Database Design (snowflake, PostgreSQL, MySQL) and Python.
What will you be doing:
Architect Data Warehouse
Own the architecture and flow of data into our data warehouse through collaboration with the squad, other squads and the wider business. Partner with the product manager to support and deliver a data warehouse that is performant, readable, easy to use and enables the business needs of other teams.
Design, Build and Maintain ELT Solutions
Design, build and maintain systems to consume data from other Internal RedCloud Systems and External Partners and/or Customers.
Deliver Data Insights
Work with colleagues through the business and directly with customers helping them to understand the data we have, build and refine models to help them deliver impact, carry out change or drive additional revenue through our customer base.
Resolve Bugs
Investigate and resolve bugs in our systems.
Handle production Outages / issues
Respond to production outages and issues in our systems.
Estimate Features / Bugs
Estimate features and bugs within estimation sessions alongside the team.
Refine feature requirements
Refine features delivered by product managers.
Carry out code reviews
Carry out code reviews / Pull-request reviews for other engineers, ensuring quality on code.
Keeping pace with Technology
As a senior member of the squad train and learn latest technologies adopted by RedCloud suggesting future libraries and patterns we should be looking at as a business.
Soft Skills
Mentor Members of the Team
Mentor all levels of engineers and new starters in the team, as their RedCloud buddy. Ensure they have all they need to succeed within your team.
Communication
Communicate effectively and clearly to those within your team and across the business.
Even if you feel you don&rsquo;t meet every requirement above, we still strongly encourage you to apply. Your unique experiences, qualities and perspectives might be just what we&rsquo;re looking for.
Benefits
Working with a pioneering trading, data and Intelligence company in the FMCG industry you will have the opportunity to join an international organisation tipped to grow fast - we encourage and reward ambition, creativity and the ability to thrive in this environment.
The successful candidate will get:<ul><li>25 Days Annual leave, increasing to 26 days after 12 months in the business</li><li>Enhanced Company Pension (Matched up to 5% &amp; Salary Sacrifice)</li><li>Healthcare Cashplan with Medicash</li><li>Private Healthcare with Aviva</li><li>Life Insurance with AIG</li><li>Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.</li><li>Stock / Equity (new scheme being established post IPO)</li></ul>
Check out the links below to see what our CEO Justin Floyd has to say about our plans for growth for the year ahead, and to see our latest video on the mission we&rsquo;re on!
https://youtu.be/8BmLoJ9U9vA
https://youtu.be/59PD4UoTgIE</div>

Lead Data Engineer

Sai Technology Solutions

Job Title: Business Intelligence DeveloperAbout the RoleSAI Technology Solutions is seeking a highly skilled Business Intelligence Developer to join our growing data and analytics team in Kuwait City. This is an exciting opportunity for a data-driven professional who enjoys transforming complex datasets into clear, actionable business insights.If you are passionate about dashboards, data modeling, and helping organizations make smarter decisions, this role offers strong career growth, modern tools, and exposure to enterprise-level analytics projects.Why This Role Is Attractive<ul><li>Work on high-impact business intelligence and analytics projects</li><li>Modern data stack (SQL, Power BI, cloud platforms)</li><li>Career growth into Senior BI / Data Architect roles</li><li>Exposure to enterprise clients and real-world decision systems</li><li>Competitive tax-free salary in Kuwait</li></ul>Key Responsibilities<ul><li>Design, develop, and maintain interactive dashboards using Power BI</li><li>Write advanced SQL queries for data extraction, transformation, and analysis</li><li>Build and optimize data models and ETL processes</li><li>Translate business requirements into technical BI solutions</li><li>Collaborate with stakeholders to define KPIs and reporting standards</li><li>Ensure data accuracy, consistency, and performance optimization</li><li>Support data warehouse development and reporting architecture</li></ul>Requirements<ul><li>3&ndash;7+ years of experience in Business Intelligence or Data Analytics</li><li>Strong proficiency in SQL</li><li>Hands-on experience with Power BI (or Tableau)</li><li>Experience with data modeling and reporting tools</li><li>Understanding of data warehousing concepts</li><li>Ability to communicate insights clearly to non-technical stakeholders</li><li>Bachelor&rsquo;s degree in Computer Science, IT, Data Science, or related field</li></ul>About the CompanySAI Technology Solutions is a technology-driven company focused on delivering innovative IT and data solutions across enterprise environments. We specialize in digital transformation, analytics, and intelligent systems that help businesses make data-backed decisions.Why Work With UsAt SAI Technology Solutions, we believe in empowering our team with modern tools, meaningful projects, and continuous learning opportunities. You&rsquo;ll be part of a collaborative environment where your work directly influences business outcomes.Apply NowIf you&rsquo;re ready to grow your career in Business Intelligence and work on impactful data projects, we encourage you to apply today. Join us and turn data into decisions.Pay: KD900.000 - KD1,800.000 per monthWork Location: In person

Business Intelligence Developer

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.
What we are building &mdash; now:<ul><li>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</li><li>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</li><li>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</li><li>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</li><li>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</li><li>
AI-enabled situational awareness and crisis management systems</li><li>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing
governance operations the organization requires</li></ul>
How we work:<ul><li>
Small team, high ownership &mdash; every engineer owns a module end-to-end</li><li>
Two-week sprints with demonstrated output at every review</li><li>
Ship and improve &mdash; working systems beat perfect designs</li><li>
Core team owns all architecture and product decisions; external capacity executes within defined scope</li><li>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</li><li>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</li><li>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</li></ul>
</div><div>Owns the API architecture &mdash; every dashboard panel, every workflow, every integration runs through what you design.
Mission
You are the senior backend engineer and the architect of the API layer that all frontends, agents, and integrations depend on. You design the API contracts, the authentication flow, the workflow state machines, and the integration patterns. You build the core services yourself. Near-term: the FastAPI service powering the executive portal &mdash; all endpoints for budget data, KPIs, approvals, action tracking, and role-based access. Medium-term: the API backbone for crisis management systems, agent service endpoints, communications dispatch, and enterprise system integration contracts.
What This Role Owns<ul><li>
API architecture: endpoint design, request/response contracts, versioning strategy, error standardization, OpenAPI spec generation</li><li>
Authentication and authorization: Azure AD SSO, MFA enforcement, role-based access control (executive read-only, operational read/write, admin)</li><li>
Workflow state machines: approval flows, posture transitions, action tracking &mdash; with immutable audit logging at every transition</li><li>
Session management: Redis-backed sessions, token refresh, expiry handling</li><li>
Integration design: patterns for connecting to enterprise systems at the application layer</li><li>
Agent service endpoints: backend services that AI agents call &mdash; tool endpoints, data retrieval, action execution</li><li>
Communications integration: email dispatch, messaging APIs, notification services</li><li>
Test coverage: unit tests, integration tests, and contract tests across all API endpoints</li></ul>
Key Decisions<ul><li>
API contract &mdash; endpoint naming, schemas, HTTP status codes, error format</li><li>
Authentication flow &mdash; token lifecycle, MFA enforcement points, role hierarchy</li><li>
Workflow state transitions &mdash; what is permitted, logged, irreversible</li><li>
Rate limiting, throttling, and idempotency design</li><li>
Technology choices within the approved backend stack</li></ul>
Does Not Do<ul><li>
Build or manage data ingestion pipelines (Data Platform Engineers)</li><li>
Write AI prompts or call LLM APIs directly (AI Engineer)</li><li>
Build frontend components (Full Stack Engineer)</li><li>
Define the database schema (Principal Data Architect)</li><li>
Define governance policies (Governance Lead)</li></ul>
Ideal Candidate
Has designed and built a multi-role, authenticated REST API consumed by a frontend team that understood it the next morning without a walkthrough. Owns the API contract as a product &mdash; clear naming, consistent errors, auto-generated docs. Thinks carefully about state: no unlogged transitions, no silent failures, no ambiguous 200 responses. Fast &mdash; can scaffold a working FastAPI service with auth, DB, and Redis in a day.
</div><div><ul><li>10+ years of experience with Python 3.10+ - type hints, async/await, exception handling</li><li>
FastAPI &mdash; async handlers, dependency injection, Pydantic models, middleware</li><li>
PostgreSQL &mdash; ORM (SQLAlchemy), raw query optimization, transaction management</li><li>
Azure AD &mdash; OAuth 2.0, JWT validation, MSAL, RBAC</li><li>
Redis &mdash; session store, distributed lock patterns, caching</li><li>
REST API design &mdash; versioning, error standardization, OpenAPI spec generation</li><li>
Docker + Azure App Service deployment</li><li>
GitHub Actions CI/CD</li><li>
pytest &mdash; unit and integration test coverage</li><li>
State machine design for multi-step workflows</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

Backend / Systems Engineer

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