Junior Engineer

Artefact; Greater London; On-site; GBP 35,000 - 45,000; Full time

Job summary

Artefact, a global consulting firm in Greater London, seeks a Junior Software Engineer to collaborate on engineering projects alongside senior team members. This role offers training and certification opportunities to develop skills in software engineering, data science, and data architecture.

The ideal candidate will hold a relevant Bachelor's or Master’s degree and possess strong programming skills in Python, along with a solid understanding of software engineering principles. The position supports a hybrid working pattern.

Qualifications

• Strong programming skills in Python and understanding of data structures and algorithms.
• Experience with SQL for querying relational databases.
• Understanding of version control and repository tools (Git, CI/CD).

Responsibilities

• Work on engineering projects with senior team members.
• Engage in training and certification to enhance skills in software engineering.

Skills

Python

SQL

Version control (Git)

Data structures and algorithms

Problem-solving

Communication

Education

Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or related field

Tools

AWS

GCP

Azure

Docker

Job description

Who we are

• Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung.
• Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts.
• Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients.

What you will be doing

As a Junior Software Engineer in our London office, your role will encompass:

• working on engineering projects together with senior team members
• training and certification to enhance your skills in software engineering, data science, and data architecture.

Qualifications

Necessary education and experience

• Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
• Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms.
• Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code.
• Data Skills: Experience with SQL for querying relational databases.
• Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps.
• Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework.
• Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members.

Desirable experience

• Cloud & MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).
• Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering.
• Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.

Hybrid working pattern