Senior Data Engineer
il y a 13 heures
At Artefact, we're on a mission to transform data into business impact across the entire value chain of organisations. As a Senior Data Engineer on our engineering team, you'll play a critical role in advising clients on their AI problematics, machine learning, and Big Data projects.
About UsArtefact is a new generation of data service provider, specialising in data consulting and data-driven information systems. Our broad range of data-driven solutions are designed to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. With 1000+ client base around the globe and 20 offices worldwide, we're internationally renowned for our expertise.
We have 1000 employees who are focused on accelerating digital transformation using state-of-the-art data technologies and lean AI agile methodologies for fast delivery. Our cohesive teams of business consultants, data analysts, data scientists, data engineers, and digital experts are dedicated to bringing extra value to every client.
The RoleWe're looking for a talented Senior Data Engineer to join our feature team and work in project mode (or pizza team) to deliver innovative data-driven solutions to our clients. You'll be responsible for devising, implementing, and deploying front-to-back solutions that drive business impact.
- You'll work closely with engineers, consultants, data scientists, strategic planners, and clients to identify their needs and define innovative solutions.
- You'll be a full owner of the solution, from conception to deployment, and ensure seamless integration with existing infrastructure.
- You'll actively participate in all project stages, including building infrastructure, collecting data, developing machine learning models, setting up APIs, testing, and continuous deployment.
As a Senior Data Engineer at Artefact, you'll have the opportunity to work on diverse projects, from migrating infrastructure to the Cloud (e.g., Deezer) to constructing predictive models for water rises (Greenpeace). You'll also have the chance to coach interns and juniors, carry out technological monitoring, and participate in technical training given by partners like Google or Azure.
You'll receive a competitive salary of €120,000 per annum, based on your experience and qualifications. Additionally, you'll enjoy a comprehensive benefits package, including health insurance, retirement planning, and professional development opportunities.
Ideally, you hold a Master's degree in Software Engineering, Machine Learning, Mathematics, or Computer Science. You should be fluent in English and have a strong command of business language. A minimum of three years of experience developing and implementing data-driven solutions within a consulting firm is required.
You should have in-depth knowledge of Python, a strong interest in DevOps, and familiarity with Cloud technologies such as GCP or Azure. Experience with Docker, Kubernetes, Spark, Beam, Kafka, or PubSub is a plus. You'll also need to master data technologies like Apache Spark or Beam, with previous experience of Docker (Kubernetes is a plus).
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