Data Engineer

Company Description

Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organisation of society and the living environment of citizens all over the world.

With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis’ long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.

Job Description

We are seeking a skilled and motivated Data Engineer to join our data team and work closely with our Senior Data Scientist. In this role, you will be responsible for building and maintaining robust, scalable, and high-performance data pipelines and infrastructure that support advanced analytics, machine learning, and deep learning initiatives. Your work will ensure that clean, reliable, and well-structured data is available to drive insights and innovation across the organization.

1. Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines to ingest, clean, transform, and deliver data from various sources.
• Work collaboratively with the Data Scientist to prepare data for machine learning models and deep learning frameworks.
• Implement data quality checks and monitoring systems to ensure accuracy and integrity of data.
• Develop and manage data warehouse solutions and data lakes to support advanced analytics.
• Optimize database performance and manage storage for large-scale structured and unstructured datasets.
• Automate data workflows and improve data engineering processes using scripting and orchestration tools.
• Ensure data security, governance, and compliance best practices are followed.

Qualifications

Education: Master’s Degree in Computer Science, Data Engineering, Information Systems, or a related field

• 3–5+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL, Python, and data manipulation libraries like Pandas.
• Hands-on experience with data warehouse technologies (e.g., Snowflake, BigQuery, Redshift).
• Solid understanding of data modeling, database design, and performance tuning.
• Experience working with APIs, streaming data, and batch processing frameworks (e.g., Kafka, Spark) is a plus.

1. Preferred Qualifications:

• Experience supporting data science and machine learning workflows.
• Familiarity with ML Ops tools and practices.
• Strong communication skills and ability to work in a collaborative environment.