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Artefact
Artefact

Data Engineer

Join Artefact, a rapidly growing data service provider specializing in data consulting and data-driven digital marketing. As a Data Engineer, you will be responsible for building and optimizing data pipelines, managing databases, integrating cloud services, collaborating on machine learning integration, and utilizing Spark and Kafka for real-time data processing. Ideal candidates should have proficiency in Python, SQL, and database management, experience with ETL, cloud services, and machine learning, and strong problem-solving and communication skills.

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Job summary
Permanent contract
Cairo
A few days at home
Salary: Not specified
Skills & expertise
Business acumen
Communication skills
Adaptability
Machine learning
Database management
+6
Key missions

Développer et optimiser des pipelines de données pour faciliter le flux de données entre les systèmes.

Gérer les bases de données, assurer leur intégrité et mettre en œuvre des solutions de stockage et de récupération des données.

Intégrer des services cloud tels que MS Azure, GCP et AWS pour architecturer et déployer des solutions de données évolutives.

Artefact
Artefact

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Questions and answers about the job

The position

Job description

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?

  • 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 start-up 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.

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