Junior Data Engineer

Artefact
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer (Data Science)

Junior Data Scientist / Data Analyst

Lead Data Scientist

Senior Data Scientist - Net Revenue & Revenue Growth Management

Senior Data Scientist

Senior Data Scientist

Junior Data Engineer

About us:

Artefact 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 growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Role Profile:

As a Data Engineer at Artefact, you will be given opportunities toinnovate, build, trainandcommunicatewith a team made up of consultants, data scientists, creatives and engineers to identify business needs and define innovative solutions. You will work in a collaborative team which champions knowledge sharing. You will work in an environment that encourages coaching & collaboration at all levels. Allowing you to work closely with other departments & keep abreast of industry news/updates and share your discoveries with others.

Your technical skills:

Programming skills in Python including building, testing and releasing code into production SQL skills with exposure working with relational/columnar databases (e.g. BigQuery, SQL Server, Postgres) Experience using Git and version controlling A willingness to learn and find solutions to complex problems Exposure with one of the main cloud providers (GCP, Azure, AWS) is desirable Experience with agile software delivery and CI/CD processes is a bonus

Your mindset:

Curious, you are always seeking innovative solutions for your clients Sharing of knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications) Entrepreneurial, you bring solutions, new ideas, within your team at Artefact You are able to act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, APIs REST creations, of front-ends, of tests, continuous deployments) You have strong communication skills and can popularize technical terms or solutions to more business oriented profiles, you can work in a team with very diversified profiles You are independent in managing your tasks and timelines

Why you should join us

Artefact is revolutionizing marketing:join us to build the future of marketingProgress: every day offers new challenges and new opportunities to learnCulture:Check out our website (Artefact.com) or Instagram (Artefact UK) to find out more about our diverse, vibrant culture hereEntrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Hit apply, and see whether what we offer is what you’ve been looking for!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.