Data Engineer

Artefact; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading data service provider in Dubai is seeking a Data Engineer to build and maintain data pipelines. The role requires proficiency in Python, SQL, and cloud services. Successful candidates will have a degree in Computer Science or a related field and experience with data-driven projects. Join a rapidly growing team dedicated to transforming data into business impact.

Qualifications

• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines, ETL, Cloud Services (MS Azure, GCP preferred), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.

Responsibilities

• Building and optimizing data pipelines to facilitate seamless data flow.
• Managing databases, ensuring their integrity and implementing data storage solutions.
• Leveraging cloud services to architect and deploy scalable data solutions.

Skills

Python

SQL

Database Management

Cloud Services (MS Azure, GCP)

Machine Learning Integration

Spark

Kafka

Education

Degree in Computer Science, Electronics, or Communication Engineering

Job description

Artefact is a new generation data service provider specializing in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say we are experiencing skyrocketing growth.

The backbone of our consulting missions is our Data Consulting team, which has more than 400 consultants covering all Artefact's offerings (and more): data marketing, data governance, strategy consulting, product ownership.

What you will be doing

As a Data Engineer, your role involves crafting and maintaining robust data pipelines utilizing Python and SQL to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimizing data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilizing Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for

• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines, ETL, Cloud Services (MS Azure, GCP preferred), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a startup mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology or consultancy firms.
• Successful candidates often possess degrees in Computer Science, Electronics, or Communication Engineering.