{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"

Senior Data Engineer

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Remote | Full Time

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About the Company

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Our client is building trust in the digital economy across some of the world’s fastest-growing emerging markets. Their platform delivers ultra-fast, AI-driven identity verification solutions, enabling organisations to onboard users securely, reduce fraud, and scale with confidence.

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Backed by cutting-edge machine learning and a product-led mindset, the business operates in a high-growth, fast-paced environment where engineers are empowered to take ownership and solve complex, real-world problems at scale.

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The Opportunity

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Engage ID is partnering with a high-growth technology company to hire a Senior Data Engineer who will play a key role in scaling their data infrastructure.

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This is a hands-on role focused on designing and building robust, scalable data pipelines that power core product functionality, analytics, and machine learning systems. You will work closely with engineering and ML teams to ensure high-performance data flows and enable data-driven decision-making across the business.

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This is an ideal opportunity for someone who thrives in a fast-paced, product-driven environment and enjoys taking ownership of complex data challenges.

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What You’ll Be Doing

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Design, build, and optimise scalable data pipelines across large and complex datasets
Develop and maintain ETL/ELT processes to support analytics and machine learning use cases
Build and maintain data streaming systems to monitor real-time performance and device-level data
Define and implement data models and database structures to support business and product requirements
Ensure data quality, integrity, and reliability through automated validation and monitoring processes
Collaborate closely with software engineers and ML teams to support production models and real-time data challenges
Implement logging and tracking to ensure data availability and observability
Translate complex data into actionable insights and communicate effectively with cross-functional teams

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What We’re Looking For

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Strong experience building and deploying data pipelines in cloud environments (AWS preferred)
Experience working with AWS services (e.g. Lambda, CloudWatch, Timestream)
Advanced proficiency in Python and SQL
Experience working with large-scale data systems, including data lakes, warehouses, and distributed data sources
Strong understanding of ETL/ELT design and optimisation
Experience with tools such as Docker, Git, and modern development workflows
Familiarity with monitoring and analytics tools (e.g. Grafana)
Strong problem-solving skills and a proactive, ownership-driven mindset
Ability to work autonomously while collaborating effectively across teams

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Nice to Have

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Exposure to cybersecurity, digital identity, or biometrics domains

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Why Join

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Work on high-impact, real-world problems in digital trust and identity
Be part of a high-growth, product-led environment
Collaborate with a strong engineering and AI team
Competitive package including salary, bonus, and equity
Fully remote, flexible working environment

","datePosted":"2026-05-02T12:16:04.000000Z","hiringOrganization":{"@type":"Organization","name":"IDWise Ltd","logo":"https://cdn.brandfetch.io/domain/idwise.com?c=1id_4BSbc4eMXdiTgjt"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","streetAddress":"Dubai, Dubai, Dubai, United Arab Emirates"}},"validThrough":"2026-06-01","employmentType":"OTHER","baseSalary":{"@type":"MonetaryAmount","currency":"$","value":{"@type":"QuantitativeValue","unitText":"YEAR","minValue":"2500","maxValue":"3500"}},"identifier":{"@type":"PropertyValue","name":"Engage ID","value":"17777241643540120861Fvt"},"directApply":true,"industry":"Digital Identity"}