Junior Data Engineer

  • Artefact
  • London, UK
  • 18/03/2019
Full time Data Science Data Engineering Machine Learning Data Analytics Big Data Data Management Statistics Software Engineering

Job Description

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