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I&D - Big Data Engineer

  • Brussels
  • Brussels

Big Data engineer develop, maintain, test and evaluate big data solutions within organisations. Most of the time he/she is also involved in the design of big data solutions, because of the experience they have with Hadoop based technologies such as MapReduce, Hive MongoDB or Cassandra. A Big Data engineer builds large-scale data processing systems, is an expert in data warehousing solutions and should be able to work with the latest (NoSQL) database technologies.

A Big Data engineer should have sufficient experience in software engineering before the move can be made to the field of big data. Experience with UNIX, object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present.

Big Data engineer should also have the capability to architect highly scalable distributed systems, using different open source tools. He or she should understand how algorithms work and have experience building high-performance algorithms.

The Capgemini Big Data engineer should embrace the challenge of dealing with petabyte or even exabytes of data on a daily basis. He/She understands how to apply technologies to solve big data problems and to develop innovative big data solutions. In order to be able to do this, the Big Data engineer should have extensive knowledge in different programming or scripting languages like Java, Linux, C++, PHP, Ruby, Phyton and/or R. Also expert knowledge should be present regarding different (NoSQL or RDBMS) databases such as MongoDB or Redis. Building data processing systems with Hadoop and Hive using Java or Python should be common knowledge to the big data technical consultant.

A Big Data engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analysing and visualizing large sets of data to turn information into insights using multiple platforms. He or she should be able to decide on the needed hardware and software design needs and act according to the decisions. The Big Data engineer should be able to develop prototypes and proof of concepts for the selected solutions.

Additional qualifications should include:

  • To enjoy being challenged and to solve complex problems on a daily basis;
  • To have excellent oral and written communication skills;
  • To be proficient in designing efficient and robust ETL workflows;
  • To be able to work with cloud computing environments;
  • To have a Bachelor’s or Master’s degree in computer science or software engineering;
  • To be able to work in teams and collaborate with others to clarify requirements;
  • To be able to assist in documenting requirements as well as resolve conflicts or ambiguities;
  • To be able to tune Hadoop solutions to improve performance and end-user experience.

Desired Skills & Experience

  • Resident in Belgium
  • Languages must haves: Speak and write fluent English. Also mother tongue Dutch or French, and basic knowledge of 2nd Belgian language (French or Dutch) is requested.
  • Has at least some experience with one of the big data technologies.. Knowing PIVOTAL Big data Suite is a plus.
  • Has experience and good knowledge of data warehouse design principles and ETL.
  • Has ambition to develop personally to Big data Architect and/or project manager.
  • Has an eye for details, software and data quality, understands the added value of a methodological approach.
  • The willingness to constantly learn in a fast evolving world of innovation driven by ICT.
  • Excellent communication skills.

Job Description

Work with great people

Sander Theuns
Salesforce Functional Expert
"Capgemini provides me with the right challenges and empowers me so that I can learn and improve daily."
Christoffel Gilis
UX designer
"Idean, an Ideal place to work!"
Delphine Libioul
Project manager
"Capgemini pushes me to question myself, to go out of my comfort zone, to change perspectives"
Ward Lambrecht
Business Analyst
"I joined Capgemini because we share the same drive; to empower each other and to grow towards new sustainable heights"

Great Place to Work

  • Global company with European Management style

  • Entrepreneurship in a stable environment

  • Projects for big companies

  • True industry shapers

  • Work in a stable environment

  • Career development framework

  • We nurture your strongest asset; knowledge

  • Flat structure, no strict hierarchy

About the company

A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion.

1976Founded in 1967 in Grenoble by Serge Kampf as Sogeti.

1970The first company in the sector to offer consulting.

1975Acquisition of Cap and Gemini

1980First major transatlantic contract with the Los Angeles Time.

1998First multinational contract with General Motors

2000Group headcount surpasses – 50.000

2010Group headcount surpasses 100.000

2016Serge Kampf passes away

2017Celebrations for 50 years Capgemini

Jonas Vinck | Contact Person

I'm interested

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