Senior Engineer - Full Stack
Skills
About This Role
Job Description
Senior Engineer - Full Stack / Focus on Application
About Presight
Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region’s leading big data analytics company powered by Artificial Intelligence (“AI”).
It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact.
With its world-class computer vision, AI and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
The Opportunity
Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.
Key Responsibilities
In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products.
These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows.
You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.
Requirements
- Bachelor’s degree in information technology, Computer Science, Engineering or related field
- Strong computer science and basic algorithms knowledge.
- 5+ years of experience in Java, Python building backend services & distributed systems.
- 5+ years of experience building modern frontends with React and TypeScript.
- Experience designing and building large scale distributed fault tolerant services.
- Experience building: search, recommendations, or other advanced analytics systems.
- Strong knowledge about programming principles (SOLID).
- Strong understanding of data analytics fundamentals and knowledge of basic SQL.
- Proficient with agentic development tools.
- Good to have:
- Data engineer experience with Databricks, Snowflake or MS Fabric.
- Worked with Clickhouse on OLAP/DWH workloads.
- Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc.
- Practical experience processing unstructured data with modern models – OCR, STT, NER, etc.
- Implemented complex analytics with BI tools such as Tableau, PowerBI or built your own.
- AI models, python notebook is something you like to play with as well.
- Have great communication skills and passion in technology and driving thing forward.
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