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Senior Engineer - Full Stack

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

Financial

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

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

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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