Medior Data/AI Engineer

Keystone Solutions
Brussels, Belgium
9 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

Remote
Brussels, Belgium

Tech stack

Artificial Intelligence
Azure
Data Centers
ETL
Data Security
Document Management Systems
Payment Systems
Python
Performance Tuning
SQL Databases
Data Ingestion
Spark
Terraform
Data Pipelines
Databricks

Job description

Join Keystone Solutions as a consultant for a medior Data/AI Engineer mission within the clients Data Center of Excellence team. As a Keystone Solutions consultant, you will work closely with the client to extend and operate their Azure-based data platform, lead deployments of Azure AI services, and ensure governance, security, and compliance across the data and AI landscape.

Client Context:

Our client is a national financial authority committed to the stability of the financial system and the reliability of institutions operating within it, fostering a climate of confidence for the well-being of all.

  • Maintain price stability in the Eurosystem
  • Oversee the Belgian financial system
  • Ensure the security of banknotes and the efficiency of payment systems
  • Provide economic and financial data and analyses

Consultancy Model at Keystone Solutions:

  • You will be embedded on-site with the client as a Keystone Solutions consultant, collaborating day-to-day with their teams while being supported by Keystone Solutions expert community.
  • Under Keystones consultancy model, you deliver impact within the clients environment, with access to our playbooks, peer reviewers, and architectural guidance to accelerate delivery quality.
  • Work patterns typically combine on-site collaboration with up to 50% remote work, aligned with client needs., * Extend and maintain the clients Data Platform (Databricks) in Azure based on current needs and evolving requirements.
  • Lead and oversee the deployment of AI Azure services including AI Foundry, AI Search, OpenAI service and Document Intelligence, and serve as its technical owner.
  • Set up governance and ensure Data Security and Compliance across Azure Services in the Data Platform.
  • Design and implement data ingestion pipelines for AI initiatives.
  • Collaborate with cross-functional teams working on AI projects.
  • Provide technical guidance and mentorship to colleagues as necessary.
  • Offer expert advice on architectural discussions, AI model selection, and other technical decisions.
  • Develop and maintain documentation for data and AI infrastructure processes., * Consultancy nature of work: Operate on-site with the client as a Keystone Solutions consultant, delivering hands-on impact while leveraging Keystones collective expertise.
  • Dynamic projects: Tackle diverse, high-value challenges across client initiatives, from platform engineering to AI service integration and governance.
  • Turbo-charged learning and development: Gain access to continuous training, certifications, internal knowledge-sharing, and coaching to broaden your skills across the Azure and AI ecosystem.
  • Ambition skyrocketing within a consultancy framework: Build a rich portfolio of engagements, accelerate your career progression, and shape your technical path through varied client missions.
  • Keystone values in action: As a K-Stone, you bring craftsmanship, curiosity, teamwork, and integrity to every client project, ensuring sustainable, secure, and compliant solutions.

Role-Specific Consultancy Impact:

  • Apply your Data/AI engineering expertise across multiple client scenarios, from designing ingestion pipelines and operating Databricks at scale to leading Azure AI services and establishing platform governance.
  • Influence architecture and model choices in regulated environments, ensuring resilience, performance, and compliance.

Questions from the Client:

  • Do you have a certification in Microsoft Azure? If so, please specify which certification(s).

Requirements

Do you have experience in Terraform?, * Proven experience as a Data/AI Engineer.

  • Expert in Databricks with at least 3 years of practical experience.
  • Experience with Azure AI Services.
  • Experience with Infrastructure as Code using Terraform

Skills:

  • AI Azure Services
  • Azure
  • Data Pipeline and ETL Processes
  • Databricks
  • Infrastructure as Code (Terraform)
  • Performance Tuning and Optimization
  • Python
  • Spark
  • SQL

Languages:

  • Dutch or French - Professional working proficiency.
  • English - Full professional proficiency.

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