Data & AI Engineer

ATOM Insurance; Abu Dhabi; Hybrid; AED 300,000 - 480,000; Full time

Benefits offered by this job

Hybrid Working Model

Private Health Insurance

Training & Development

Performance Bonus

Job summary

ATOM Insurance is seeking a Data & AI Engineer to drive end-to-end data development, ingestions, cleansing, validation and curation. You will work with a team to deliver secure data and AI solutions across the data lake, warehouses, and analytics platforms.

You will develop ETL/ELT pipelines, implement web scraping, and optimise data workloads. Collaboration across product, engineering and business units is essential to deliver scalable data architectures and AI-enabled insights.

Qualifications

• Hands-on experience as a data engineer with focus on Snowflake, Databricks, Azure, GCP and/or AWS platforms.
• Strong programming skills in Python, SQL and other relevant languages.
• Proven experience in developing ETL/ELT pipelines using various technologies including AWS Glue, dbt, Informatica, Talend, Python, SQL.
• Working knowledge of SAP HANA data modelling is a strong plus.
• Experience with analytical frontend tools (Power BI, Tableau, etc).
• Exposure to Large Language Models and AI workflows with orchestration tools.

Responsibilities

• Develop, test, and maintain robust ETL/ELT pipelines across data lake and data marts.
• Implement robust web scraping solutions.
• Collaborate with data scientists and analytics teams to productionise ML/AI solutions.

Skills

ETL/ELT pipelines

Python

SQL

Data engineering

CI/CD in data

Education

Bachelor's or Master's in CS/Statistics/Math or related

Tools

Snowflake

Databricks

Azure

GCP

AWS

dbt

Informatica

Talend

Job description

As a Data & AI Engineer you will contribute across the end-to-end data development lifecycle for data ingestion, cleansing, validation, transformation, curation and presentation. Reporting to the Principal Data & AI, you will work within a talented team of data engineers to deliver high-impact, secure data and AI solutions that support the ambitious goals of ATOM's customers and stakeholders.

Hands-on Engineering & Delivery

• Develop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data marts
• Implement robust web scraping solutions
• Optimise performance and cost of data workloads (partitioning, compression, query tuning, etc)

Data Modelling & Platform Contribution

• Apply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases
• Contribute to the evolution of the cloud data architecture under the guidance of the Principal Data & AI

Analytics, BI, ML & AI Enablement

• Work with data scientists, ML engineers, and analytics teams to support the productionisation of ML/AI and LLM-based solutions through reliable data pipelines and feature stores
• Expose curated, well-documented datasets to enable self-service reporting, dashboards, and analytical tools

Quality, Governance & Security

• Follow data governance, data quality, and metadata management practices across the platform
• Apply security best practices (IAM roles and policies, encryption at rest and in transit, row/column-level security, auditing and monitoring)

Collaboration & Ways of Working

• Partner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutions
• Contribute to code reviews, documentation, testing, and DevOps/CI-CD practices, adhering to clean code, reusable components, version control, and observability standards

Requirements

KNOWLEDGE AND SKILLS

• Hands-on experience as a data engineer with focus on Snowflake, Databricks, Azure, GCP and/or AWS platforms
• Strong programming skills in Python, SQL and other relevant languages
• Proven experience in developing ETL/ELT pipelines using various technologies, including but not limited to AWS Glue, dbt, Informatica, Talend, Python, SQL, etc
• Working knowledge of SAP HANA / SAP HANA Cloud data modelling, XS Engine, Calculation Views, SDI/SDA is a strong plus
• Experience with analytical frontend tools (e.g. MicroStrategy, Power BI, Tableau, Spotfire, SAP Analytics Cloud)
• Exposure to Large Language Models, generative AI, and intelligent agents, including hands-on experience building Agentic AI workflows and automations using tools such as n8n, LangChain / LangGraph, Make (Integromat), Zapier AI, CrewAI, or similar orchestration frameworks
• Experience delivering CI/CD and DevOps capabilities in a data environment
• A bachelor's or master's degree in computer science, Statistics, Mathematics or related
• A collaborative, proactive problem solver with strong communication skills and the ability to work effectively across diverse teams
• At minimum 5 years of experience in a similar role

Benefits

• Work in an international environment
• Innovation in FinTech
• Private Health Insurance
• Hybrid Working Model
• Training & Development
• Performance Bonus