Senior Data Platform Engineer
Agilytic
·- Location
- Brussels, Brussels, Belgium · published
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workable
Description
Since 2015, Agilytic has helped organizations reach their goals through the smarter use of data and AI. With over 300 successful projects completed in Belgium and abroad, we strive to be a leading boutique firm delivering high-impact solutions for marketing, operations, and finance decision-makers.
As Senior Data Platform Engineer, you are the senior technical reference of our Platform Engineering & BI practice. You sit between hands-on delivery and architecture: you design data platforms end-to-end, set them up with the team, and act as the go-to expert when things get hard. The role now also covers the AI Platform layer: the infrastructure, patterns, and guardrails that make AI applications run reliably in production at our clients.
This is a senior individual contributor role. You will not manage a team day-to-day, but you will set the technical bar, coach mid-level engineers, and partner with our Practice Director and Managing Partners on the most demanding engagements.
While regular presence at client offices is required, we offer flexible and hybrid working arrangements. Our main offices are in Brussels' city center, and we gather there every Friday to foster team exchanges and strengthen our collective culture.
What you will do
- Own the architecture of data and AI platforms for our clients: ingestion, storage, transformation, orchestration, serving, observability, and security.
- Set up and harden production environments on modern cloud stacks (AWS, Azure, GCP) with tools like Databricks, Snowflake, Microsoft Fabric, dbt, Airflow, and the surrounding ecosystem.
- Design and implement the AI Platform layer: model serving, feature stores, RAG pipelines, vector stores, evaluation and monitoring, cost and latency controls, and the guardrails around LLM-based applications.
- Act as senior technical support across active engagements: code reviews, troubleshooting on hard problems, performance tuning, and unblocking junior and mid-level engineers.
- Coach the team. Raise the engineering bar through pairing, technical write-ups, internal sessions, and clear standards.
- Engage directly with client tech leads, architects, and CTOs. Translate business intent into a defensible technical design.
- Contribute to proposals and scoping discussions when senior technical credibility is needed.
- Help shape our point of view on data and AI platforms, and feed it back into our offerings.