Agilytic
Management Consulting
SeniorDataPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Platform Engineer at Agilytic. Skills: Data Platforms, AI Platforms, Cloud Engineering, Data Engineering. Own architecture of data and AI platforms. Set up and harden production environments”
Industry & Context.
Troubleshooting on hard problems; Performance tuning; Unblocking engineers
Regular presence at client offices, Gather at main offices every Friday, Hands-on case study at our offices, Bring your laptop to case study, Show how you actually work, Show how you use AI tools
What They're Looking For.
Must Have
Master's degree in engineering, computer science, mathematics, statistics, or a related quantitative discipline, At least 5 years of professional experience in data engineering or platform engineering, Designing and operating production data platforms on at least one major cloud (AWS, Azure, or GCP), Hands-on work with a modern data stack: Databricks, Snowflake, Microsoft Fabric, dbt, Airflow or equivalent, plus solid SQL and Python, Building or operating components of an AI / ML platform: model deployment, inference infrastructure, RAG pipelines, vector databases, evaluation and observability of LLM applications, CI/CD, infrastructure as code (Terraform or equivalent), and DevOps practices applied to data, Data modeling and analytics engineering patterns (medallion, dimensional, contract-driven pipelines), Security and governance basics: IAM, secrets management, lineage, data quality, GDPR-aware design, Working directly with client stakeholders in a consulting or in-house lead role, Fluency in English, Fluency in French or Dutch, Valid type driving license (Belgian car license) or equivalent, Eligibility to work in Belgium and the European Union
Nice to Have
7 to 8 years of experience, Played the senior technical reference role on real client engagements, Proficiency in Dutch is particularly valued
What You'll Do.
Own architecture of data and AI platforms
Set up and harden production environments
Design and implement AI Platform layer
Act as senior technical support
Raise engineering bar
Engage with client tech leads
Translate business intent
Contribute to proposals
How You'll Work.
Team & Collaboration
Partner with Practice Director; Partner with Managing Partners; Coach mid-level engineers; Work with the team; Pairing; Internal sessions; Engage with client tech leads; Engage with client architects; Engage with client CTOs
Communication Scope
Clear communication; Written communication; Spoken communication; Communication with non-technical audiences
Process & Methodology
Scoping discussions
Full Job 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
Applying for this Senior Data Platform Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Agilytic?
Real rants from real employees. Read before you apply.