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Data Architect for AI Projects

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or master's degree in Computer Science, Data Science or related field, At least 5 years of experience in data architecture, In-depth knowledge of data management platforms including cloud solutions, Experience with ETL tools and programming languages like Python and SQL, Familiarity with AI and machine learning concepts.

Key responsabilities:

  • Collaborate with clients to understand data and business requirements
  • Define data requirements, collect data, and analyze data quality
  • Design data architectures that support AI solutions including data warehouses
  • Implement data integration processes and ensure data quality & security
  • Advise clients on data architecture and continuously update skills
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Nubika - Cloud Solutions Scaleup http://www.nubika.com/
51 - 200 Employees
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Job description

Company Description

Inetum is a European leader in digital services. Every day, the Group's 28,000 consultants and specialists aim to make a digital impact for businesses, public sector bodies and society as a whole: solutions that contribute to performance, innovation and the common good.
Present in 19 countries, close to the regions, and with its major software publisher partners, Inetum meets the challenges of digital transformation with proximity and flexibility.
Driven by its ambition to grow and industrialize, Inetum generated sales of €2.5 billion in 2023.

In response to a market that has been growing steadily for over 30 years, Inetum has made the deliberate choice to refocus on 4 core businesses in order to gain strength and offer customized solutions tailored to the specific needs of its customers: consulting (Inetum Consulting), infrastructure and application management (Inetum Technologies), software implementation (Inetum Solutions) and its own software publishing business (Inetum Software). Inetum has forged strategic partnerships with 4 of the world's leading software publishers - Salesforce, ServiceNow, Microsoft and SAP - and is pursuing a dedicated acquisition strategy to become one of Europe's top 5 in these technologies, and offer the best expertise to its customers.

At Inetum Belgium, we offer more than just a job; we provide an inspiring environment and opportunities for growth and development. We strive to create a workplace where you can harness your talents, contribute to challenging projects, and be part of a leading IT consultancy group.

Job Description

Inetum Consulting is a leading consultancy organization that supports companies in their digital transformation. With a strong focus on innovation, technology, and customer orientation, we help our clients tackle the challenges of today and tomorrow. Our expertise lies at the intersection of business and IT, and we have a special passion for AI and data-driven solutions.

 

  • Collaborating with clients to study data, gather business requirements & constraints, and translate these into data needs.
  • Defining data requirements, performing data collection & data preparation, and analyzing data quality are essential.
  • Translating business questions into a machine learning or AI context, including model selection, feature engineering, etc.
  • Designing data architectures that support AI solutions, including data warehouses, data lakes, and cloud solutions.
  • Assessing and optimizing existing data architectures and processes.
  • Collaborating with AI engineers to develop data models that provide accurate and actionable insight.
  • Implementing data integration processes and ETL pipelines Ensuring data quality, security, and management according to best practices and regulations.
  • Advising clients and internal teams on data architecture, data governance, and strategies.
  • Continuously updating skills on the latest trends and technologies in the field of data and AI.

Qualifications
  • Bachelor's or master's degree in Computer Science, Data Science, or a related field.
  • At least 5 years of experience in data architecture, preferably within consultancy or a similar environment.
  • In-depth knowledge of data management platforms, data warehouses, data lakes, and cloud solutions (such as AWS, Azure, Google Cloud).
  • Experience with ETL tools and processes, as well as programming and scripting languages (such as Python, SQL).
  • Familiarity with AI and machine learning concepts and tools.
  • Strong analytical skills and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Fluent in Dutch and English.

Additional Information

Discover Your Future with Inetum Belgium

  • Make a Difference with a Meaningful Career: step into a role where your work truly matters. At Inetum Belgium, you’ll have the chance to impact lives and drive meaningful change every day.
  • Grow and Evolve Professionally: embrace a culture of continuous learning and development. We offer a range of training opportunities designed to help you expand your skills and advance your career.
  • Unlock Relevant Career Opportunities: pursue the career path you’ve always dreamed of with tailored opportunities and the IT expertise you need to succeed.
  • Achieve Work-Life Balance: we value your well-being. Enjoy flexible working hours, the convenience of satellite offices, the comfort of home working, and an informal, no-nonsense environment.
  • Enjoy Generous Annual Leave: life is more than just work. Take advantage of 32 days of annual leave to relax and recharge.
  • Travel in Comfort: forget the hassle of commuting. We provide a company car and a national fuel/charging card to keep you on the move. Prefer a different option? You can choose a mobility allowance instead.
  • Comprehensive Insurance Coverage: your health and security are our priorities. Benefit from group insurance and hospitalization insurance that show we care.
  • Attractive Compensation Package: we offer a competitive gross salary  to recognize and appreciate your hard work.

 

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Spoken language(s):
EnglishDutchEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Analytical Skills
  • Organizational Skills
  • Verbal Communication Skills

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