AI & Data Engineer

iO; Antwerpen; Hybride; EUR 55 000 - 75 000; Plein temps

Avantages offerts par ce poste

32 vacation days

End-of-year bonus

Hospitalisation insurance

Personal training budget

Healthy snacks & lunch

Résumé du poste

A leading innovation-driven company in Belgium is seeking an AI & Data Engineer to develop innovative data pipelines and AI solutions. You will design, integrate, and operationalize scalable AI services within clients' IT ecosystems. The ideal candidate holds a degree in software engineering and has experience with AI-driven systems. You'll work on various challenges from AI integration to data pipeline development, ensuring quality and compliance in data ecosystems. This role offers flexible hybrid work arrangements and a comprehensive benefits package.

Qualifications

• Experience in software engineering with data and AI-driven systems.
• Strong foundation in data architectures and big-data processing.
• Ability to explain technical concepts to non-technical stakeholders.

Responsabilités

• Design AI & Data solutions based on client challenges.
• Develop backend components and APIs for integration.
• Implement machine learning pipelines within data workflows.
• Optimize data processing performance and security.

Connaissances

Software engineering

Data architecture

AI solutions

ETL/ELT processes

Cloud platforms (AWS/Azure)

Python

SQL

Apache Spark

Formation

Bachelor's or Master's in Software Engineering

Outils

AWS Glue

Azure Data Factory

Google Dataflow

Pandas

Dask

Description du poste

What You’ll Do

Are you the AI & Data Engineer who wants to join our team to develop innovative data pipelines and state-of-the-art AI solutions?

As an AI & Data Engineer at iO, you are first and foremost an experienced software engineer who builds, integrates, and operationalizes AI and data solutions within clients’ existing IT ecosystems.

You will work on a wide variety of AI challenges: from intelligently leveraging or fine‑tuning large language models, agent and multi‑agent setups, and applying RAG patterns, to building ETL pipelines that feed a data platform. A recurring pattern in your work is integrating existing cloud services and APIs into an efficient, scalable, and reliable solution. The focus lies on building production‑grade systems that function correctly within complex, often enterprise‑level IT landscapes.

Prompt engineering is an art form to you. You think creatively about how to achieve the best results, while paying attention to preventing hallucinations and implementing smart guardrails. You evaluate your solutions systematically to gain insight into output quality.

In your work, you will encounter many forms of AI: from statistical models to large language models, from generative AI in the domains of image, video, and audio to natural language processing. The emphasis is mainly on applying and integrating existing models and services, and building the infrastructure around them.

You will work on a wide range of client challenges: from automatically analyzing documents to detecting events in audio or video data, building agents and orchestration solutions, generating graphical output based on data, or creating and validating content. Wherever AI can add value, you design and implement the complete solution as an engineer.

You collaborate with various AI experts within iO and with technical teams on the client side. Your solutions are based on modern cloud platforms, SaaS services, and programming languages such as TypeScript and Python.

Responsibilities

• Design AI & Data solutions: Analyze client challenges and define solutions, approaches, and architecture.
• Software engineering & integration: Develop backend components, APIs, and services to ensure AI solutions integrate seamlessly with existing applications and platforms.
• Data pipeline development: Design and build robust ETL/ELT processes and real‑time data streams.
• Data platform architecture: Set up modern data warehouses, data lakes, and analytics platforms.
• AI integration: Implement machine learning pipelines and integrate AI services into data workflows.
• Data quality & governance: Ensure data quality, security, and compliance within data ecosystems.
• Performance optimization: Optimize data processing performance and scalability.
• Cloud data services: Work with cloud‑native data services such as AWS Glue, Azure Data Factory, or Google Dataflow.
• Monitoring & observability: Implement monitoring and alerting for data pipelines and AI workloads.

Qualifications

• You hold a bachelor’s or master’s degree with a focus on software engineering.
• You have several years of experience as a software engineer and have worked on data and/or AI‑driven systems in a professional, preferably enterprise, environment.
• You have been exposed to different LLM architectures and understand the strengths and weaknesses of various AI solutions.
• You are familiar with the principles of modern data architectures, data modeling, and big‑data processing.
• You are proficient in modern data processing languages such as Python and SQL, and have experience with frameworks such as Apache Spark, Pandas, or Dask.
• You are familiar with AWS or Azure cloud data platforms.
• You have a strong foundation in software engineering, including knowledge of CI/CD, unit testing, Git (flow), secure development, error handling, asynchronous operations, and real‑time data streams.
• You are able to translate your ideas into technical architecture diagrams, data flow schemas, and documentation, while also clearly explaining your solutions to less technical stakeholders (clients and colleagues).
• You enjoy sparring with colleagues about ideas and solutions and working collaboratively to achieve better results.

Benefits

• 32 vacation days (based on a 40‑hour work week you’ll have 20 vacation days and 12 compensatory days of leave).
• Mobility & end‑of‑year bonus: After working at iO for 6 months, you can count on an end‑of‑year bonus. In terms of mobility, you can choose from various options, depending on your job or preference.
• Hospitalisation insurance: All employees get hospitalisation insurance at AXA.
• Hybrid working: A good work‑life balance is super important. Together with your team, you’ll decide when and where you work.
• Healthy snacks & lunch: At every iO campus, you can grab a healthy snack throughout the day and have a healthy and varied lunch for a small fee.
• Personal training budget: Each year you’ll get a budget of €3,000 to develop yourself, in your profession or as a person, through training, events, or courses.
• Celebrating together: From time to time, the party team at your campus will organise the best (theme) parties.