Data Engineer

Etihad Airways; Abu Dhabi; On-site; AED 60,000 - 100,000; Full time

Job summary

An innovative airline is seeking a Data Platform Engineer to enhance its data ecosystems. This exciting role involves building scalable data pipelines and collaborating with cross-functional teams to ensure high-quality data flow. You will be responsible for optimizing data architectures and supporting advanced analytics initiatives. If you are passionate about transforming data into actionable insights and thrive in a dynamic environment, this opportunity is perfect for you. Join a forward-thinking organization that values data-driven decision-making and offers a collaborative atmosphere for professional growth.

Qualifications

• 3-8 years of experience in a Data Engineer role.
• Strong analytical skills with unstructured datasets.
• Experience with data mining and segmentation techniques.

Responsibilities

• Evaluate business needs and identify data acquisition opportunities.
• Build and maintain optimal data pipeline architecture.
• Develop analytics tools for insights into operational efficiency.

Skills

Data Pipeline Development

SQL

Data Architecture

Data Analysis

Problem Solving

Education

Graduate degree in Computer Science

Graduate degree in Statistics

Graduate degree in Information Systems

Tools

Big Data Technologies

UNIX Shell Scripting

Job description

Bachelors in Computer Application (Computers)

Job Description

We are seeking a highly skilled and motivated Data Platform Engineer with a strong background in building scalable data pipelines, integrating modern data technologies, and supporting advanced analytics use cases. The ideal candidate is a proactive problem-solver who is passionate about designing, developing, and optimizing robust data architectures that empower data-driven decision-making across the organization.

In this role, you will collaborate closely with software engineers, database architects, data analysts, and data scientists to support and enhance our data platforms. You will be responsible for ensuring efficient and reliable data flow across multiple systems and products, enabling high-quality data availability for analytical and operational purposes.

You will also play a key role in monitoring, maintaining, and evolving our analytical infrastructure, ensuring systems run smoothly and efficiently in production. If you're excited about transforming and modernizing data ecosystems to support next-generation products and analytics initiatives, we would love to hear from you.

Accountabilities

1. Evaluate business needs and objectives
2. Identify opportunities for data acquisition
3. Analyze and organize raw data
4. Create and maintain optimal data pipeline architecture, interpret trends and patterns, build algorithms and prototypes
5. Assemble large, complex data sets that meet functional and non-functional business requirements
6. Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
7. Build infrastructure for data extraction, transformation, and loading from various data sources using SQL and big data technologies
8. Develop analytics tools that utilize data pipelines to provide insights into customer acquisition, operational efficiency, and key performance metrics

Education & Experience

1. 3-8 years of experience in a Data Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field
2. Technical expertise with data models, data mining, and segmentation techniques
3. Strong analytical skills working with unstructured datasets
4. Experience building and optimizing data pipelines, architectures, and datasets
5. Advanced SQL knowledge and experience with relational databases and query writing
6. Experience with root cause analysis on data and processes to answer business questions and identify improvements
7. Ability to troubleshoot and solve complex problems
8. Basic understanding of UNIX batch/shell scripting and database SQL
9. Experience supporting data transformation, data structures, metadata, dependency, and workload management