Data Engineer

Employment; Doha; On-site; QAR 218,000 - 437,000; Full time

Job summary

Artefact in Doha, Qatar is expanding its Data Engineering and Analytics Platforms team. We are looking for a Data Engineer to build robust data pipelines using Python and SQL, enabling reliable ETL across systems.

You will integrate cloud services (Azure, GCP, AWS), collaborate with ML teams, and apply Spark and Kafka for real-time processing. Join a fast-growing environment focused on data-driven decision making and impactful projects.

Qualifications

• 2-5 years: Data Engineer.
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark and Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience collaborating with business stakeholders.

Responsibilities

• 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.

Skills

Python

SQL

Database management

Data pipelines ETL

Cloud services

ML modeling

Spark

Kafka

Stakeholder communication

Education

Bachelor's degree in Computer Science / Electronics / Communications Engineering

Tools

Azure

GCP

AWS

Apache Spark

Kafka

Job description

Industry Data Engineering and Analytics Platforms

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re 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?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation:

We have a passion for creating impacting projects and believe innovation can come from anyone.

Action:

We make things rather than telling people how to make them.

Collaboration:

We believe in bringing talented people together, winning together, and in learning from each other.