Data Engineer

Artefact; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you'll craft and maintain robust data pipelines using Python and SQL. This role involves building and optimizing data flows, managing databases, and integrating cloud services like MS Azure and AWS. Collaborate with teams to enhance data processing through machine learning models while leveraging tools such as Spark and Kafka for real-time analytics. If you're passionate about transforming data into business impact and thrive in a dynamic environment, this opportunity is perfect for you!

Qualifications

• Proficiency in Python and SQL with strong database management skills.
• Experience in building data pipelines and ETL processes.

Responsibilities

• Develop and optimize data pipelines for seamless data flow.
• Manage databases ensuring integrity and implement data solutions.

Skills

Python

SQL

Database Management

Problem-Solving

Communication Skills

Adaptability

Education

Computer Science Degree

Electronics Engineering Degree

Communication Engineering Degree

Tools

MS Azure

GCP

AWS

Spark

Kafka

Job description

Artefact is a new generation of data service providers specialising in data consulting and datadriven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we are enjoying skyrocketing growth.

The backbone of our consulting missions today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner.

What you will be doing

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

Your responsibilities will include:

• Data Pipeline Development: Building and optimising 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.
• Utilising 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 firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.