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Data Engineer

  • Location

    Luxembourg

  • Sector:

    Digital & Technology

  • Job type:

    Permanent

  • Salary/Rate:

    Negotiable

  • Contact:

    Leah Cridlan

  • Contact email:

    lcridlan@skillfindergroup.com

  • Job ref:

    18224USER_72

  • Consultant:

    Leah Cridlan

Data Engineer



About the job



Are you looking to work at a people-centric organisation that values your contribution? Do you want to be an integral part of a growing team not just in Luxembourg but across Europe? Are you a cloud enthusiast who wants to continue to develop your data footprint? Does this sound like you?

About you



You are a data enthusiast and you enjoy analyzing data and building data systems and pipelines
You like to participate in complex data projects, working closely with clients
You know the importance and difficulty of having clean and well-organized datasets
You are willing to provide business insights to non-technical teams based on data
You can manage your time and agenda to be able to deliver solutions on time and you are willing to work following Agile methodology
You are interested in working with new tools and technologies, and you are willing to share your knowledge with other team members
You are always looking for ways to improve your skills and knowledge


Required Qualifications



Knowledge of data modelling and data pipeline design
Knowledge of public cloud solutions such as Azure
Strong experience with SQL and RDBMS solutions such as SQLServer, PostgreSQL, MySQL...
Familiarity with Docker, Kubernetes, git, CI/CD...
Experience with data visualization tools such as PowerBI or Tableau ...
ETL design and development experiences
Ability to work in a team and good communication skills
Fluent English in speaking and writing
Good experience with at least one scripting language (e.g. Python)
Experience in the delivery of customer related projects


Is a strong plus



Master's degree, or Advanced technical degree in computer science, software engineering, data science or a related field
Experience with statistical analysis
Advanced coding abilities is a strong plus (C, C#, Java, Python, R...)
Knowledge and experience in Machine Learning