Job Title: Data Engineer Automation & AI
Location: UAE Abu Dhabi or Dubai
Engagement: Full-time (On-site)
Contract duration: 3 or 6 months possible extensions
Start date: February 2026
Riverflex is partnering with a leading financial institution in the UAE on a strategic Proof of Concept focused on increasing data engineering productivity through automation and AI. We are seeking a Data Engineer Automation & AI with strong GenAI and agent-based experience to own this PoC end-to-end applying AI- and agent-assisted techniques to the design migration and development of AWS-based data pipelines.
This role is explicitly focused on accelerating data engineering ways of working using AI not solely on building pipelines. You will act as the internal lead on how AI should be applied in day-to-day data engineering working closely with the partners Data Lead and embedded with the on-site engineering team. A key part of the scope is translating legacy SQL and stored procedures into modern AWS Glue pipelines while defining practical AI patterns tool and guardrails that scale beyond the PoC.
Responsibilities
Data engineering & pipeline delivery
Design build and evolve AWS Gluebased data pipelines using Spark and SQL.
Translate legacy SQL scripts and stored procedures into AWS Glue pipelines
Ensure migrated and newly built pipelines meet agreed standards for correctness performance and maintainability.
AI-driven engineering acceleration
Apply Generative AI and agent-based techniques to accelerate data engineering tasks including code generation/refactoring pipeline dev. and standardisation
Own the design and implementation of AI-assisted tooling that integrates directly into day-to-day engineering workflows
Codify successful patterns reusable tools and recommended ways of working for scaling beyond the PoC
AI tooling & experimentation
Work hands-on with Python and LLM APIs to build pragmatic internal DE tools
Design effective prompts & interaction patterns for code generation & transformation
Evaluate and work with enterprise-grade AI platforms (e.g. AWS Bedrock Azure AI Foundry) using GPT-4 / Claude-class models
Define practical rules of thumb and guardrails (e.g. where automation works where it breaks down where human intervention is required).
Collaboration & ways-of-working
Work closely with data and platform engineers to (dis)prove automation hypotheses and identify where AI adds real productivity gains vs. noise
Document outcomes and recommendations from the PoC and provide clear guidance on how AI should (and should not) be used in data engineering at scale
6 years of experience in data engineering or closely related engineering roles.
Proven experience owning and shaping data engineering solutions not only implementing individual pipelines.
Strong hands-on experience with AWS-based data engineering including:
AWS Glue (jobs transformations orchestration)
Spark (batch processing and transformations)
Advanced SQL (complex logic optimisation performance tuning)
End-to-end pipeline and workflow design
Solid (Python) engineering experience including building reusable components and internal tooling.
Demonstrated practical experience applying Generative AI in engineering workflows such as:
Working with LLM APIs (e.g. AWS Bedrock Azure AI Foundry OpenAI)
Prompt design for code generation refactoring and transformation
Understanding the limitations failure modes and risks of LLM-based automation
Experience designing AI-assisted engineering workflows or tools for example:
API-based services (e.g. FastAPI)
MCP (or agent)-like orchestration patterns
Able to balance short-term PoC delivery with longer-term capability building.
Experience in financial services or other regulated environments is a strong advantage.
Ability to be based in the UAE for a minimum of 3 months working full-time on-site (Abu Dhabi or Dubai).
This is a unique opportunity to directly impact the data engineering capability of a major financial institution with real hands-on use of GenAI - while working on-site in the UAE at the heart of one of the worlds fastest-growing technology and financial hubs. You will operate in a high-impact setting alongside senior stakeholders on a greenfield AI for Data Engineering initiative with strong executive backing. If you are interested wed love to connect.
Apply now!
Your application has been successfully submitted!
We appreciate your interest in this position. Unfortunately you have already applied for this job.
Required Experience:
IC
This listing is sourced from a third-party job board. Applying will redirect you to the original posting.
Sisco Jobs
AtkinsRéalis
AECOM
Eaton Corporation