Job Summary

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 were enjoying skyrocketing growth.

The backbone of our consulting missions today our Data consulting team has more than 400 consultants covering all Artefacts 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 realtime 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 problemsolving skills and a solutionoriented mindset.
Excellent communication skills to collaborate effectively within teams and with stakeholders.
Strong business acumen with an interest in businessfacing 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.

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 realtime 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 problemsolving skills and a solutionoriented mindset.
Excellent communication skills to collaborate effectively within teams and with stakeholders.
Strong business acumen with an interest in businessfacing 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.

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

Apply Now

About Company

Artefact

Who we areArtefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we re enjoying skyrocketing gro ... View more

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click