Senior Data & AI Platform Engineer - Hybrid (AWS/Azure/GCP)

Agilytic, an Artefact company; Brussel; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Competitive package

Mobility budget

Phone subscription

Laptop

Meal vouchers

Remote working flexibility

Training and development

Radical candor culture

Résumé du poste

Agilytic is seeking a Senior Data Platform Engineer to lead end-to-end data and AI platform design. You will shape architecture, set up production environments in AWS/Azure/GCP, and guide mid-level engineers while collaborating with client tech leads and the Practice Director.

The role emphasizes production readiness and delivering high-impact platforms. You will work in a hybrid model with frequent client engagements, shaping guardrails, data governance, and secure, scalable data pipelines

Qualifications

• Master's degree in engineering, computer science, mathematics, statistics, or related quantitative discipline and at least 5 years of professional experience in data engineering or platform engineering.
• 7–8 years and has already played the senior technical reference role on real client engagements.
• Experience with a major cloud: AWS, Azure, or GCP; strong data stack skills including SQL and Python.

Responsabilités

• Own the architecture of data and AI platforms for clients: ingestion, storage, transformation, orchestration, serving, observability, and security.
• Set up and harden production environments on cloud stacks (AWS, Azure, GCP) with Databricks, Snowflake, Microsoft Fabric, dbt, Airflow.
• Design and implement the AI Platform layer: model serving, feature stores, RAG pipelines, vector stores, evaluation and monitoring, cost and latency controls, LLM guardrails.
• Provide senior technical support across engagements: code reviews, troubleshooting, performance tuning, mentoring juniors.
• Coach the team; raise engineering bar through pairing, write-ups, sessions, and standards.
• Engage with client tech leads, architects, and CTOs; translate business intent into technical design.
• Contribute to proposals and scoping discussions when senior credibility is needed.
• Shape our data and AI platform viewpoints and feed back into offerings.

Connaissances

Data platform engineering

Cloud platforms

Databricks

Snowflake

Microsoft Fabric

dbt

Airflow

Python

SQL

Terraform

CI/CD

DevOps

Data modeling

GDPR awareness

Client engagement

Formation

Master's degree in engineering or related quantitative discipline

Outils

Databricks

Snowflake

Microsoft Fabric

dbt

Airflow

Description du poste

Agilytic is seeking a Senior Data Platform Engineer to lead end-to-end data and AI platform design. You will shape architecture, set up production environments in AWS/Azure/GCP, and guide mid-level engineers while collaborating with client tech leads and the Practice Director.

The role emphasizes production readiness and delivering high-impact platforms. You will work in a hybrid model with frequent client engagements, shaping guardrails, data governance, and secure, scalable data pipelines