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Data Engineer

Data Engineer
  • Job ID #1188938
  • Responsibilities Build a universal data platform, meet real-time/offli...
  • Posted 19th Aug 2024
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Data Engineer

Data Engineer
  • Job ID #1188934
  • Responsibilities Build a universal data platform, meet real-time/offli...
  • Posted 19th Aug 2024
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Data Engineer

Data/Python Engineer (Operations)

Data Engineer
  • Job ID #1181900
  • Responsibilities: 1. Build a universal data platform, meet real-tim...
  • Posted 15th Apr 2024
  • Starting 14th Jun 2024
  • Permanent
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Data Engineer

Data engineers are responsible for developing, testing and maintaining the systems that collect, process and store data. They work with large volumes of data, and their job is to ensure that this data is accurate, accessible and reliable. As such, data engineers need to have strong technical skills in areas such as programming, statistics and databases.

Those who are interested in this career should have a strong background in computer science or a related field. They should also be able to demonstrate their analytical and problem-solving skills. With the right skills and experience, data engineers can enjoy a challenging and rewarding career in this rapidly growing field.

Salary range

EUR 4166 to EUR 6250+ Per Month

Qualifications, training and skills required
  • Data engineers must be able to effectively communicate with other members of the team, including analysts and business decision-makers. In addition, data engineers must be able to work quickly and efficiently under pressure. As the demand for big data grows, so does the need for qualified data engineers.
  • You also need to have experience working with databases, as well as streaming data and real-time analytics. In addition to these technical skills, data engineers also need to be good at problem-solving and communication.
Extra desired training
  • Previously held a position as a data engineer or in a related role
  • Data mining, segmentation techniques, and data modelling expertise
  • Knowledge of programming languages (such as Java and Python)
  • Expertise in SQL database design
  • A great deal of numerical and analytical skill
  • Computer science, IT, or similar degree; a master's degree is an asset
  • A data engineering certification (e.g. IBM Certified Data Engineer) is an asset