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ALTEN Belgium

Data Analyst

ALTEN Belgium
Belgium Β· Full-time Β· Mid-Senior

πŸš€ Job Opening: Data Scientist / Analyst – Dataiku Platform

πŸ“ Location: Brussels

πŸ’Ό Seniority: 3–5 years of experience


About ALTEN Belgium

ALTEN Belgium is a leading technology consulting and engineering company, specializing in Engineering, Life Sciences, and IT services. With a strong presence across various sectors, including automotive, pharmaceuticals, and finance, ALTEN Belgium leverages its expertise to deliver innovative solutions to clients throughout the country. As part of the global ALTEN Group, the company combines local knowledge with international experience to drive technological advancement and support clients in achieving their goals.


About the Role

At our clients company, data is at the heart of our transformation. Our Enterprise Data & Analytics function is evolving into a Center of Expertise (CoE), delivering advanced analytics, automation, and machine learning solutions.​


We are seeking a Data Scientist / Analyst with robust technical skills to engineer, optimize, and promote our Dataiku (DSS) platform, utilized by both expert and citizen data scientists. This role combines hands-on data science with platform optimization and support responsibilities.​

If you're a problem-solver passionate about transforming data into actionable insights and proficient in tools like Python, Git, Terraform, and AWS, this opportunity is for you.​


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πŸ”§ Key Responsibilities

Data Science & Platform Enablement

  • Design, build, and automate data workflows and analytics pipelines using Dataiku (DSS).​
  • Support internal teams and citizen data scientists in effective Dataiku utilization.​
  • Promote best practices in workflow structure, code quality, and governance.​

Platform Development & Automation

  • Manage and enhance our AWS-hosted Dataiku platform.​
  • Develop and maintain automation pipelines, integrations, and reusable components.​
  • Monitor and refine platform usability and performance.​

Cross-Team Collaboration

  • Collaborate with cloud, infrastructure, MLOps, and data governance teams.​
  • Assist in deploying ML pipelines into production alongside data science teams.​
  • Work with support teams to resolve issues and improve user experience.​

Documentation & Knowledge Sharing

  • Create comprehensive guides, documentation, and tutorials.​
  • Contribute to the development of an internal knowledge base on analytics and Dataiku usage.

​

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βœ…Qualifications

Must-Have

  • 3+ years in data science, analytics, or data platform roles.
  • Hands-on experience with Dataiku DSS.
  • Proficient in Python, with working knowledge of Git and Terraform.
  • Good understanding of AWS infrastructure and cloud deployments.
  • Comfortable with automation, platform monitoring, and support.

Nice-to-Have

  • Experience with MLOps, DevOps, or ML pipeline deployment.
  • Familiarity with platform governance and performance tuning.
  • Exposure to enterprise data environments and integration work.

Soft Skills

  • Clear communicator across technical and non-technical teams.
  • Problem-solver with a proactive mindset.
  • Team player with a drive to learn and improve.


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πŸŽ“ Education

  • Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.​


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Why Join Us?

  • Be part of a transformative journey in data utilization.
  • Collaborate with top-tier data teams and contribute to scaling a modern data science platform.​
  • Gain exposure to a diverse ecosystem of tools, projects, and business domains.​
  • Combine technical expertise with cross-functional impact in a dynamic, inclusive culture.


πŸ”’ Please note: ALTEN Belgium is only considering candidates who do not currently require a work permit and will not require one in the future to work in Belgium.

Key Skills

Ranked by relevance

cloud aws technical expertise machine learning terraform python devops mlops git dss
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Posted
Apr 12, 2025
Type
Full-time
Level
Mid-Senior
Location
Brussels

Industries

Engineering Services

Categories

Information Technology

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