At a glanceSummarised by Seekless from the posting.
Must have10
8+ years of industry experience in data engineering
Proficiency in Python, SQL, and database management
Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka
Data modelling and modern data platform design concepts
Building and maintaining data platforms in Azure/AWS or GCP
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
Eligibility1
Already have authorization to work and already working in the market
Skills
Python
SQL
Azure
GCP
AWS
Spark
Kafka
About the company
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…
Responsibilities
**What you will be doing?**As a Data Engineer Manager, 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:
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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.
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Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
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Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
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Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.
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Mentor and guide engineers, fostering knowledge sharing and best practices.
What we are looking for?
•
8+ years of industry experience in data engineering.
•
Proficiency in Python, SQL, and database management.
•
Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
•
Data modelling and modern data platform design concepts
•
Building and maintaining data platforms in Azure/AWS or GCP
•
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.
•
Already have authorization to work and already working in the market
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.