Data Engineer Manager

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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 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:

• 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.

• 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