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Urgent! Full Stack Data Engineer Job Opening In Dubai – Now Hiring Orbital
Combining equal expertise in traditional finance and digital asset treasury solutions, Orbital is a trusted and regulated partner for global financial management.
Until now, multinationals have been forced to choose their finance tools piecemeal.
We provide our clients with all they need to run their financial operations from a single interface; multi-currency accounts, custody vaults, international payments and FX supporting 30+ fiat and exotic currencies, and crypto-commerce C2B payments.
What is our mission?:
Orbital is on an exciting mission to revolutionise global cross-border payments by innovatively combining traditional fiat banking rails with stablecoins over blockchain rails for a variety of use cases.
Our class leading B2B payments platform offers multi-currency e-money accounts (corporate IBANs) combined with a suite of digital assets services.
Our company sits at the frontier of payments & fintech, by intersecting blockchain and traditional (fiat) financial services, and is leading the way to bridging those two worlds for corporate enterprises globally.
We believe blockchain technology is firmly here to stay, and we want to be the first to bring a combined offering of fiat & crypto payment services under one exciting platform.
Learn more about our team and company story .
What is the purpose of this role in the delivery of our mission?
We’re looking for a Full-Stack Data Engineer who can design, build, and optimize modern data systems from the ground up.
You’ll own the full data lifecycle—from architecting databases to building ETL pipelines, writing advanced queries, and enabling data-driven decision-making through powerful insights.
This role blends traditional data engineering with a strong analytics mindset.
You’ll collaborate closely with engineering, product, and compliance teams to ensure clean, accessible, and scalable data flows across our platform.
What are the key responsibilities of the role?
Design and develop scalable, reliable data architectures and storage solutions (SQL, NoSQL, etc.)
Build and maintain robust ETL/ELT pipelines to ingest, transform, and enrich data from multiple sources
Write performant SQL queries for reporting, dashboards, and ad-hoc analysis
Develop and optimize data models for both operational and analytical use
Collaborate with analysts and stakeholders to define metrics, KPIs, and data definitions
Implement data validation, monitoring, and observability across pipelines
Support data visualization efforts via BI tools (Metabase, Power BI or custom dashboards)
Ensure data security, governance, and compliance across all systems
What is the scope of accountability for the role?
Design, develop, deploy and maintain mission critical data applications
Delivery of various data driven applications
Develop and owning data models, dashboard and reporting
Business analysis and the query of databases
What are the essential skills, qualifications and experience required for the role?
3+ years of experience in data engineering or similar roles
Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
Experience with cloud data platforms (AWS Redshift, Stich, Airbyte, Athena, Glue, S3)
Proficient in Python or another data scripting language
Experience with orchestration tools (e.g., Airflow, Prefect, Dagster)
Familiarity with data warehousing, data lakes, and stream processing (Kafka, Spark, etc.)
Understanding of data modelling techniques (e.g., star/snowflake schema, normalization)
Ability to communicate complex data concepts to non-technical stakeholders
You have strong analytical, organisational, and prioritisation skills, and a belief in writing documentation as part of writing code
What are the desirable skills, qualifications and experience that would be beneficial for the role?
Data Ingestion: AWS Kinesis/Firehose
Data Transformation: DBT (Data Build Tool)
Familiarity with DevOps/data infrastructure tools (Git/Bitbucket, AWS CloudFormation, AWS ECS)
Exposure to analytics or dashboard tools (Metabase and/or PowerBI)
Prior work in a startup, SaaS, or data-intensive environment
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Unlock Your Full Stack Potential: Insight & Career Growth Guide
Real-time Full Stack Jobs Trends in Dubai, 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 Full Stack in Dubai, 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 1491 jobs in United Arab Emirates and 773 jobs in Dubai. This comprehensive analysis highlights market share and opportunities for professionals in Full Stack roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Orbital is currently hiring and seeking a Full Stack Data 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: Full Stack Data Engineer Jobs Dubai.
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 Orbital adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Full Stack Data Engineer Jobs United Arab Emirates varies, but the pay scale is rated "Standard" in Dubai. 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 Full Stack Data Engineer typically include Computer Occupations 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 Full Stack Data 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 Full Stack Data Engineer interview at Orbital, 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 Orbital'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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