Data Engineer

KPMG
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
Dutch, English, French
Experience level
Intermediate

Job location

Tech stack

Amazon Web Services (AWS)
Azure
Information Engineering
Python
SQL Databases
Information Technology

Requirements

  • You have a master's degree in computer science, (business) engineering or any other relevant topic.
  • Minimum of 2 year of data engineering experience preferably with a professional services firm, an internal strategy/analytics group or similar environment.
  • General knowledge of cloud native computing, public hyperscalers (preferably Azure, AWS and/or GCP)
  • You have basic knowledge in SQL, python, or any other programming languageYou are an enthusiastic, driven, and proactive person, taking ownership and accountability in your work
  • You are a team player, and have a can-do mentality
  • You are interested in the bigger picture and able to think broader than your own capabilities.
  • You are fluent in Dutch and/or French and have English professional working proficiency

Benefits & conditions

  • As a certified Top Employer we offer:
  • An international corporate culture in which personal growth, mutual trust and lifelong learning are being fostered.
  • A competitive and attractive compensation package and a great number of extra-legal advantages (Company car + fuel card, IPhone/IPad, group & hospitalization insurance, Allowances,…) which are customizable with our Reflex@KPMG plan.
  • Career development opportunities combined with trainings based on your personal needs and ambitions.
  • Flexible, hybrid work arrangements to enable working from wherever you are.
  • A team of passionate colleagues to reach higher goals and support each other.
  • A buddy and performance manager to support and assist you through your first months at KPMG.
  • Great teambuilding, sport & wellbeing initiatives through our Together@KPMG program.
  • An inclusive workspace that encourages diversity and pursues mutual respect for each other's beliefs and backgrounds.

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