Data Engineer

ENEC Operations; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading company in the UAE is looking for a skilled Data Engineer to enhance their team. The ideal candidate will leverage their expertise in data engineering and machine learning to design and maintain high-quality data pipelines while collaborating closely with cross-functional teams to implement data-driven solutions.

Qualifications

• 5-10 years of experience in data engineering and machine learning.
• Proficiency in Python, R, or SQL.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Develop, implement, and optimize machine learning models.
• Collaborate with cross-functional teams to deliver data-driven solutions.

Skills

Data Engineering

Machine Learning

Python

Data Analysis

Problem Solving

Communication

Education

Bachelor's or Master's degree in Data Science, Computer Science, Engineering

Tools

Databricks

Azure Fabric

Job description

Job Purpose

We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.

Key Activities, Responsibility & Accountability

Key Responsibilities:

Data Engineering:

• Design, build, and maintain scalable data pipelines and ETL processes.

• Work with large datasets and data lakehouses, including Databricks and Azure Fabric.

• Ensure data quality, integrity, and security across all data pipelines.

• Optimize data storage and retrieval processes for performance and efficiency.

Machine Learning Engineering:

• Develop, implement, and optimize machine learning models and algorithms.

• Perform data analysis and model tuning to improve accuracy and performance.

• Deploy machine learning models into production environments.

• Monitor and maintain the performance of deployed models.

Collaboration:

• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.

• Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.

Continuous Learning:

• Stay up-to-date with the latest advancements in data engineering and machine learning.

• Participate in training and development opportunities to enhance skills and knowledge.

Responsibilities & Accountabilities (contd.)
Professional Certifications
Qualifications

Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.

Experience

• 5-10 years of experience in data engineering and machine learning.

• Proficiency in programming such as Python, R, or SQL.

• Experience with data lakehouses, particularly Databricks and Azure Fabric.

• Strong analytical and problem-solving skills.

• Excellent communication and teamwork abilities.

• Ability to work independently and manage multiple projects simultaneously.