Data Engineer (Palantir)

Department Icon Data Science Analytics & Machine Learning
Posted: 5 months ago
0-1 years
Dubai, United Arab Emirates
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 5 months ago
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Job Description

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.

About the role:

As a Data Engineer at Artefact, you will be given opportunities to innovate, build, train and communicate with 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:

  • MUST HAVE: Extensive knowledge of Palantir software system, specifically Foundry. Ideally you will have already worked as part of or led a team in an implementation project using Palantir Foundry.
  • 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 marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: Check out our website (Artefact.com) or Instagram (Artefact UK) to find out more about our diverse, vibrant culture here
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won't give up until we make a huge dent in this industry!

Skills

PythonImplementationMachine LearningData EngineerAiSql

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About Company

Artefact is a global data transformation agency that helps companies use data to improve their business. We are a team of experts in data science, engineering, and strategy, and we work with clients to develop and implement data-driven solutions.

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