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Agilytic

Data science consulting and analytics services

Practice Director - Platform Engineering & BI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBrussels, Belgium

About the Job

Requirements

  • A master's degree in engineering, computer science, mathematics, statistics, or a related quantitative discipline is required.
  • At least 10 years of professional experience, including significant time in consulting and/or building a data engineering practice or team.
  • Proven experience leading and growing a Platform Engineering & BI practice (or equivalent), business unit, or team.
  • Experience owning commercial outcomes, including pipeline, proposals, closing, account growth, and margin.
  • Experience overseeing end-to-end delivery on complex data platform programs.
  • Hands-on credibility with modern data stacks, including cloud data platforms (AWS, Azure, GCP), Databricks, Snowflake, Fabric, ETL/ELT frameworks, orchestration, and analytics engineering (dbt, Power BI, Tableau, etc.).
  • Experience recruiting, coaching, and retaining senior technical talent.
  • Experience engaging C-level stakeholders and shaping their data strategy.
  • An entrepreneurial track record, such as building something from the ground up, scaling a practice, or carrying a clear P&L.
  • Fluency in English and fluency in French or Dutch are required; strong proficiency in Dutch is particularly valued.
  • A valid type B driving license (Belgian car license) or equivalent.
  • Eligibility to work in Belgium and the European Union; relocation support is not available.
  • Strategic thinking combined with a bias for action, the ability to communicate across technical and executive contexts, commercial instinct, empathy, humility, candor, passion for data and AI, and alignment with the company's stated culture.

Responsibilities

  • Own the strategy, roadmap, and KPIs of the Platform Engineering & BI practice.
  • Drive business development by shaping offerings, qualifying opportunities, leading proposals, closing deals, and growing key accounts.
  • Build and lead a team of data engineers and platform engineers, from junior consultants to senior architects.
  • Define how the practice uses AI internally and in client deliverables.
  • Establish a point of view on data platforms, analytics engineering, and modern data stacks, including cloud, ETL/ELT, BI, Fabric, Databricks, and Snowflake.
  • Coach team members on technical and consulting skills and create clear career paths.
  • Partner with the Managing Partners on cross-practice initiatives and the broader company growth agenda.
  • Represent the company externally through speaking engagements, partnerships, client executive relationships, and thought leadership.
  • Define and articulate the Data Engineering practice's three-year direction, including service portfolio, target clients, technology stack, partnerships, and differentiators.
  • Build a sustainable pipeline and deliver revenue and margin targets.
  • Attract, recruit, coach, and retain engineers and build the bench for practice growth.
  • Set standards, methodologies, and quality expectations across data engineering engagements.

Desired Qualifications

  • Strong proficiency in Dutch.

About the Company

Agilytic

Data science consulting and analytics services

Agilytic is a data science and engineering consultancy that helps organizations turn data into strategic decisions through project-based engagements. It designs multi-year roadmaps, 8–12 week proofs of value, and large deployments, offering data science, data engineering, data visualization, automation, and AI implementation, with domain work in telecom, real estate, retail, and healthcare (including GIS for real estate and RFM models for retail). Unlike some firms, Agilytic blends telecoms-rooted experience with cross-industry expertise, leverages certified professionals, and emphasizes data storytelling to translate complex data into actionable insights. Its goal is to deliver measurable outcomes and ROI by building practical data capabilities and executing well-scoped, repeatable projects.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Waterloo, Belgium
Founded
2015

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