What you will be doing: Key responsibilities

As a Data Engineer, your role will encompass:

• Conducting ambitious projects in the transformation of clients through data

• Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients

• Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department

Among your responsibilities as a Data Engineer, you will be responsible for:

Performing data projects

• Securing delivery on your projects

• Communicating the success of your projects among the company

• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs

• Ensuring that your solutions are bringing values to the client problematic

• Being a good team player, knowing your role and responsibility in the global ambition

• Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring

Being a great tech person

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives

• Researching and developing new technical approaches to address problems efficiently

• Sharing best practices and contributing to Artefact’s institutional knowledge

• Embodying Artefact’s values and inspiring others to do the same

• Experience working with Big Data technologies such as Hadoop, Spark, Kafka…

• Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)

• Being able to adapt your solutions and approaches to technical environment (security, access, tools)

Qualifications :Education and Experience

• Bachelor’s degree in computer science, computer engineering, or related fields

• 1+ years of hands-on experience developing and applying data-driven solutions

• Strong experience and knowledge of computer science, data processing and data architecture

• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

• Experience in designing Data Integration / ETL

• Experience with Python, Linux, SQL, Cloud infrastructure and Docker

• Experience with Spark, BigQuery/ Redshift, Devops and Javascript is a plus