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      Urgent! Data and Integration Engineer Position in دبي - $SRC Ecosystem
Job Title: Data & Integration Engineer
Location: Remote
Employment Type: Contract
Department: Technology & Platform Engineering
Payment: in $SRC token ,native token of project
About $SRC Ecosystem
$SRC Ecosystem is an AI and blockchain-powered RWA tokenization platform addressing the $2.5 trillion global trade finance gap.
By digitizing trade documents, tokenizing trade assets, and enabling cross-border payments with integrated FX, we empower SMEs worldwide to access fair financing.
Our platform is built on zkEVM technology, driving efficiency, transparency, and liquidity in trade finance.
We are scaling rapidly and seeking a Data & Integration Engineer to join our core engineering team.
This role is critical in ensuring smooth data flows, integrations with external partners, and enabling robust analytics that power our end-to-end trade execution platform.
Key Responsibilities
Design, develop, and maintain data integration interfaces between the $SRC Ecosystem and partner systems (banks, logistics providers, on/off ramping partners).
Implement and manage message bus systems (e.g., RabbitMQ, Kafka) for asynchronous communication and event-driven architecture.
Develop and optimize database schemas, queries, and stored procedures to ensure scalability and high availability.
Build and maintain the data warehouse for analytics, reporting, and business intelligence.
Support data modelling efforts to standardize trade, finance, and compliance data across the platform.
Implement low-code/no-code workflow solutions to accelerate automation for business processes and stakeholder integrations.
Collaborate with front-end, back-end, and AI engineering teams to ensure seamless integration of structured/unstructured data.
Support data analytics pipelines to provide real-time insights on trade flows, risk scoring, and liquidity movements.
Ensure all integrations follow security, KYC/KYB, and compliance standards in line with MiCA and global regulatory frameworks.
Requirements
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
6-10 years of experience in data engineering, system integration, or related roles.
Strong hands-on skills with databases (PostgreSQL, MySQL, MongoDB or similar).
Proven experience with data integration interfaces and APIs (REST, gRPC, Webhooks).
Hands-on experience with message bus systems (RabbitMQ, Kafka, or equivalent).
Experience in data warehousing and ETL pipelines (Snowflake, BigQuery, Redshift, or equivalent).
Strong foundation in data analytics and modelling.
Familiarity with low-code/no-code workflow platforms (e.g., n8n, Camunda, or similar).
Solid understanding of data security, encryption, and compliance frameworks.
Knowledge of blockchain data structures and Web3 integration is a plus.
Excellent communication and collaboration skills in cross-functional, distributed teams.
What We Offer
Opportunity to shape the future of global trade finance and tokenization.
Work with a high-performing, international team across blockchain, AI, and fintech.
Remote-first work culture with flexibility.
Exposure to Tier-1 global partners in trade, finance, and blockchain ecosystems.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Data and Potential: Insight & Career Growth Guide
Real-time Data and Jobs Trends in دبي, United Arab Emirates (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data and in دبي, United Arab Emirates using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 9446 jobs in United Arab Emirates and 2468 jobs in دبي. This comprehensive analysis highlights market share and opportunities for professionals in Data and roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! $SRC Ecosystem is currently hiring and seeking a Data and Integration Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data and Integration Engineer Jobs دبي.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at $SRC Ecosystem adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data and Integration Engineer Jobs United Arab Emirates varies, but the pay scale is rated "Standard" in دبي. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data and Integration Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data and Integration Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data and Integration Engineer interview at $SRC Ecosystem, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the $SRC Ecosystem's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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