Junior Engineer

LinkedIn Job Wrapping; Greater London; On-site; GBP 28,000 - 36,000; Full time

Job summary

Artefact seeks a Junior Engineer for our London office. You will work on engineering projects with senior team members and gain hands-on experience across software engineering, data science, and data architecture.

You will receive training and certification to accelerate your skills, with a focus on Python, SQL, version control, and modern ML/AI workflows in a collaborative environment.

Qualifications

• Education: Bachelor's or Master's in CS, Math, Statistics, Physics, Engineering, or related field.
• Proficient in Python; strong knowledge of data structures and algorithms.
• Experience with SQL for relational databases.
• Understanding of version control and CI/CD.
• Analytical mindset to break down problems.
• Eagerness to learn and collaborate with senior team.
• Strong communication skills, both written and verbal.

Responsibilities

• Collaborate on engineering projects with senior team members.
• Engage in training and certification programs to grow skills in software engineering, data science, and data architecture.

Skills

Python

SQL

Git CI/CD

Data structures

Algorithms

Communication

Learner mindset

Education

BSc or MSc in CS/Math/Engineering

Tools

Git

CI/CD

Docker

Cloud basics

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 1,800 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 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.

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 and 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.