Data Engineer - UAE National (m/f/d)
Halian | Managed Services, Recruitment Agency & Contract Staffing · Abu Dhabi Emirate, United Arab Emirates
- On site
- Full-time
- AED 150,000 / year
- Abu Dhabi Emirate, United Arab Emirates
Job highlights
- Build an AI-powered data platform.
- Deploy and implement solutions at client sites.
- Translate business needs into data pipelines.
- Design efficient data warehouse/lakehouse structures.
- Process unstructured data with AI/ML models.
About the role
About the Role
We are seeking a motivated and skilled Data Engineer to join our dynamic team building an end-to-end AI-powered data processing and analytics platform for the enterprise. This role combines platform-focused data engineering with hands-on client delivery. The successful candidate will support the deployment and implementation of the platform at client sites, working directly with client teams to translate business requirements into data pipelines, integrations, analytical workflows, and production-ready use cases. The role requires a practical, delivery-oriented mindset and the ability to bridge product capabilities with real-world client needs.
Key Responsibilities
- Deploy, configure, and support the platform in client environments – field data engineering.
- Work with client stakeholders and our BAs to understand business requirements, data sources, and target use cases.
- Translate client use cases into data engineering solutions, including ingestion, transformation, validation, and publishing workflows.
- Design efficient data layers and warehouse/lakehouse structures following industry best practices, such as medallion architecture, while considering storage, memory, performance, and scalability constraints.
- Build and maintain data pipelines using the platform’s native capabilities.
- Integrate the platform with client databases, object stores, APIs, and enterprise systems.
- Process unstructured data using open-source AI/ML models – OCR, STT, classification etc.
- Troubleshoot implementation issues and capture field feedback for product and engineering teams.
Requirements
- Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences.
- Excellent SQL and Python knowledge and coding skills.
- 3+ years of experience building data warehouses and data pipelines.
- Working knowledge of data platform concepts - data lake, data warehouse, ETL, big data processing (designing and supporting variety/velocity/volume), real-time processing architecture for data platforms, scheduling and monitoring of ETL/ELT jobs.
- Practical experience working with ML/LLM for typical unstructured data processing tasks.
- Experience working with ClickHouse, Spark, and Trino would be a big plus.
- Good corporate capacity, good communication skills.
- UAE National.
Key skills/competency
- Data Engineering
- AI Platform Development
- Client Delivery
- Data Pipelines
- SQL
- Python
- Data Warehousing
- ETL/ELT
- ML/LLM
- ClickHouse, Spark, Trino
Skills & topics
- Data Engineer
- Data Warehousing
- Data Pipelines
- ETL
- ELT
- SQL
- Python
- AI
- Machine Learning
- Big Data
- ClickHouse
- Spark
- Trino
- Cloud Computing
- Analytics
- UAE National
How to get hired
- Tailor your resume: Highlight your SQL, Python, data warehousing, and ETL/ELT experience. Quantify achievements in data pipeline construction.
- Showcase relevant projects: Emphasize experience with AI/ML for unstructured data, and familiarity with ClickHouse, Spark, or Trino.
- Prepare for technical interviews: Brush up on data warehousing concepts (medallion architecture), SQL, Python coding, and big data processing.
- Understand the company: Research Halian's focus on managed services, recruitment, and staffing, and their AI platform initiatives.
- Network and connect: If possible, connect with current employees on LinkedIn to gain insights into the team and culture.
Technical preparation
Master SQL for complex data querying.,Practice Python for data manipulation.,Understand data warehouse and lakehouse concepts.,Review ETL/ELT processes and best practices.
Behavioral questions
Describe a challenging data pipeline project.,How do you translate business needs?,Share an experience troubleshooting technical issues.,How do you handle client feedback?
Frequently asked questions
- What does 'UAE National' mean for this Data Engineer role at Halian?
- The 'UAE National' designation indicates a preference or requirement for candidates who are citizens of the United Arab Emirates. This is often due to specific employment regulations or company policies within the UAE. Ensure your nationality aligns with this requirement before applying for this Data Engineer position.
- What are the primary responsibilities of a Data Engineer at Halian?
- As a Data Engineer at Halian, you will be responsible for deploying and supporting an AI-powered data platform in client environments. This involves translating business requirements into data pipelines, designing data structures, building data integrations, and processing unstructured data using AI/ML models. You will also troubleshoot issues and provide feedback for product improvement.
- What technical skills are most crucial for the Data Engineer position?
- Key technical skills for this Data Engineer role include strong SQL and Python coding abilities, experience building data warehouses and data pipelines, and a solid understanding of data platform concepts like data lakes, ETL/ELT, and big data processing. Experience with ML/LLM for unstructured data is also important.
- Does Halian offer opportunities for professional development for Data Engineers?
- While the description focuses on the role's responsibilities, companies like Halian that work with cutting-edge AI and data platforms typically invest in their employees' growth. You may have opportunities to work with advanced technologies and gain experience in client-facing roles, which can foster professional development.
- What is the significance of experience with ClickHouse, Spark, and Trino for this role?
- Experience with ClickHouse, Spark, and Trino is listed as a 'big plus' for this Data Engineer position. It suggests that proficiency in these specific technologies would make your application stronger, indicating familiarity with high-performance data warehousing, distributed data processing, and query engines, which are valuable for building and maintaining data platforms.
- How does this Data Engineer role blend platform development with client delivery?
- This role is unique as it requires you to work both on building and implementing an AI-powered data platform and directly supporting its deployment at client sites. You'll bridge the gap between the platform's capabilities and specific client business needs, acting as a field data engineer.