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Senior Engineer - Full Stack

Unlock employer Abu Dhabi, United Arab Emirates Posted: 20 May 2026

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Financial

Estimate: $70k - $120k*
Zero income tax location

Accessibility

Office Only
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Visa Provided

Requirements

Experience: Senior
English: Professional

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Position

About the Job:

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The company is a leading big data analytics firm that utilizes Artificial Intelligence (AI) to create a positive societal impact. The company combines big data with analytics and AI expertise across various sectors to shape policy and foster sustainable societies.

The Opportunity:

The company is looking for a skilled and motivated Senior Fullstack Engineer to join its dynamic team. This role focuses on building an end-to-end AI-powered data processing and analytics platform for enterprise applications.

Key Responsibilities:

Build distributed backend services and rich UI components that transform raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products.
Work across functional areas including data profiling, governance, ETL pipelines, data warehousing, and advanced analytics workflows.

Qualifications:

Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.
Strong knowledge of computer science principles and algorithms.
5+ years of experience in Java and Python for backend services and distributed systems.
5+ years of experience in building modern frontends using React and TypeScript.
Experience in designing large-scale distributed fault-tolerant services.
Knowledge of search, recommendation systems, and advanced analytics frameworks.
Familiarity with programming principles (SOLID) and data analytics fundamentals.
Knowledge of basic SQL.
Proficient in agentic development tools.

Good to Have:

Experience in data engineering with Databricks, Snowflake, or MS Fabric.
Familiarity with Clickhouse for OLAP/DWH workloads.
Experience in batch and stream processing using tools like Spark, Trino, Flink, and Kafka.
Practical experience with processing unstructured data, especially using OCR, STT, and NER models.
Experience implementing complex analytics using BI tools such as Tableau or PowerBI.
Familiarity with AI models and Python notebooks.
Strong communication skills and a passion for technology.

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