20 Beste vacatures voor de functie van lead data & ai platform (nieuwe medewerkers gezocht)

Lead Data & AI Platform Engineer
OrderYOYO —Amsterdam
- Thuiswerk
- Azure
- Salesforce
- SQL
Snel solliciteren
AI Product Manager
HeadFirst B.V. —Hoofddorp
- € 6.000 - € 8.500 per maand
- Fulltime
- Hybride werken
- Master
- Productmanagement
- ICT
Snel solliciteren
AI Implementation Lead
team5pm —Amsterdam
- Fulltime
- Hybride werken
- Analytisch vermogen
- Projectmanagement
- Bachelor
Snel solliciteren
Assistent Platform Developer/ Ai implementation
ChargeCars —Nijkerk
- Fulltime
- Azure
- Scripting
- Softwareontwikkeling
- Reiskostenvergoeding
Snel solliciteren
Internship Data Science & AI
CM.com —Amsterdam
- Engels
- Master
- Analytisch vermogen
Snel solliciteren
AI Platform Architect
Gravity Team —Amsterdam
- Thuiswerk
- DevOps
- Master
- Python
- Flexibele werkuren
Snel solliciteren
Data & AI Strategy Consultant
EPAM Systems, Inc. —Amsterdam
- Hybride werken
- AI
- Communicatieve vaardigheden
- Mentale gezondheidszorgprogramma's
- Aanbrengbonus
Solution Director: Data & AI
AND Digital —Amsterdam
- Fulltime
- Hybride werken
- AI
Snel solliciteren
Lead Product Software Architect — AI & Data
Wolters Kluwer —Hoevelaken
- Fulltime
- Hybride werken
- AI
- Managementervaring
- Flexibele werkuren
AI Deployment Lead – Antwerp
Waterland —Bussum
- Engels
- Master
- AI
Data & AI Cost Governance Lead
KPN —Amsterdam Westpoort
- € 5.190 - € 7.803 per maand
- ICT
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Personeelskorting
Snel solliciteren
AI Platform Engineer
Jumbo Supermarkten B.V. —Veghel
- € 5.100 - € 6.500 per maand
- Parttime
- Hybride werken
- Azure
- DevOps
- Kantoor
- Reiskostenvergoeding
- Zorgverzekering
10 dagen
AI Data Architect
Xuntos —Den Haag
- E-mail
- Azure
- Machinaal leren
- AI
Internship AI Software Development
CM.com —Tilburg
- Engels
- Master
- Bachelor
Snel solliciteren
Working student Agentic AI
NIBC —Den Haag
- Parttime
- Informatica
- Analytisch vermogen
1 dag
Product Owner - Healthcare Intelligence Platform
LOGEX —Amsterdam
- Fulltime
- Hybride werken
- Ziekenhuis
- Master
- Telefoonplan
Snel solliciteren
1 dag
AI Lead, Python Tools
JetBrains —Amsterdam
- Engels
- Java
- Master
Strategist
Monks —Amsterdam
Snel solliciteren
Data & AI Consultant
BusinessBase —Utrecht West
- Azure
- Bachelor
- Machinaal leren
- Reiskostenvergoeding
AI House Lead & Community Manager
Prosus —Amsterdam
- Hybride werken
- Socialemediabeheer
- AI
10 dagen

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van lead data & ai platform

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Lead Data & AI Platform Engineer

OrderYOYO -
Amsterdam

Snel solliciteren

Vacaturegegevens

Kwalificaties

Performance tuning
Power BI
Azure
Salesforce
SQL
Zendesk
Begeleiding
HubSpot
Google Ads
AI
Python
T-SQL

Volledige vacaturetekst

Lead Data & AI Platform Engineer

At OrderYOYO, data powers executive reporting, payments, finance, merchant insights, product analytics, AI, marketing automation, operational decision-making, and M&A integration.

We are looking for a Lead Data & AI Platform Engineer to own the next stage of our data platform evolution. This is a hands-on technical leadership role for a strong engineer who can build reliable data systems, modernise our data lake, automate data pipelines, and pioneer the practical use of AI across data engineering, reporting, analytics, and business insight generation.

You will play a central role in making OrderYOYO a more data-driven and AI-enabled company.

Competitive salary, growing international company, and growth opportunities.

Role mission

Your mission is to lead the continuity, modernisation, and AI-enablement of OrderYOYO’s data platform during a critical scaling phase.

Core responsibilities

Lead the architecture and evolution of OrderYOYO’s Microsoft Fabric platform across lakehouse, warehouse, notebooks, pipelines, semantic models, Power BI, and governance.

Make Fabric the trusted source of truth for priority business metrics and reporting.

Drive migration from legacy reporting and fragmented metric tooling into governed semantic models.

Build and improve production-grade data pipelines across APIs, files, events, CRM systems, payment platforms, operational databases, and acquired-company data sources.

Use AI and automation to accelerate ETL/ELT development, data mapping, documentation, testing, report generation, monitoring, and data-quality management.

Design reusable semantic models, DAX measures, and governed metric definitions for leadership, finance, commercial, product, marketing, payments, support, and operations.

Build automated reporting and insight-generation capabilities that reduce manual analysis and improve decision speed.

Establish robust orchestration, monitoring, alerting, lineage, data-quality checks, and incident-response processes.

Support CRM and operational data integrations, including identity mapping, schema mapping, outbound data feeds, reverse-ETL patterns, and monitoring.

Create repeatable ingestion and modelling patterns for acquired businesses, making future integrations faster, cleaner, and more auditable.

Define engineering standards for data pipelines, notebooks, semantic models, documentation, code review, testing, release management, and runbooks.

Lead and mentor data engineers, analytics engineers, BI analysts, data scientists, and ML/AI practitioners.

Partner with business stakeholders to turn ambiguous questions into reliable metrics, trusted reports, and scalable data products.

Ensure data and AI solutions are secure, privacy-conscious, auditable, and aligned with GDPR and internal governance requirements.

Must-have requirements

Strong experience in modern data platform engineering, analytics engineering, data warehousing, or data architecture.

Proven experience leading complex data-platform work in a SaaS, marketplace, fintech, payments, e-commerce, B2B2C, or multi-region business.

Strong Microsoft Fabric capability, or deep Azure Synapse, Databricks, Delta Lake, or lakehouse experience with the ability to specialise quickly in Fabric.

Expert SQL/T-SQL skills.

Strong Python or PySpark engineering capability, with experience building maintainable, tested, production-grade data pipelines.

Strong Power BI and DAX experience, including semantic modelling, incremental refresh, performance tuning, model governance, and capacity/cost awareness.

Practical experience using AI or automation to improve data engineering, reporting, documentation, testing, monitoring, migration, or developer productivity.

Experience building or operating production data systems with monitoring, alerting, incident triage, root-cause analysis, data-quality checks, lineage, and runbooks.

Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control, and safe decommissioning.

Experience leading, mentoring, or technically guiding data engineers, analytics engineers, BI analysts, data scientists, or ML engineers.

Strong judgement on when to move fast, when to standardise, when to automate, and when to say “not yet” with evidence.

Strong-to-have experience

Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management, or AI-assisted development workflows.

Experience building AI-generated reporting, natural-language analytics, business copilots, automated insight generation, or merchant/customer intelligence tools.

Experience with churn prediction, recommendations, personalisation, marketing automation, fraud/risk analytics, payments analytics, or finance automation.

CRM-side data flows and reverse-ETL patterns, especially HubSpot, Salesforce, Zendesk, or similar platforms.

M&A or acquired-company data integrations, including schema discovery, data profiling, file/API ingestion, master-data mapping, migration QA, and reporting continuity.

GA4, BigQuery export, Google Ads, SEM feeds, Segment, or other event and marketing analytics sources.

Responsible AI and governance experience, including RBAC, PII handling, audit logs, human approval flows, explainability, and GDPR-conscious design.

Apply now if you fulfill the above criteria, we look forward to hearing from you.

Snel solliciteren

Verfijn je zoekopdracht

lead data & ai platform vacatures

Lead Data & AI Platform Engineer

AI Product Manager

AI Implementation Lead

Assistent Platform Developer/ Ai implementation

Internship Data Science & AI

AI Platform Architect

Data & AI Strategy Consultant

Solution Director: Data & AI

Lead Product Software Architect — AI & Data

AI Deployment Lead – Antwerp

Data & AI Cost Governance Lead

AI Platform Engineer

AI Data Architect

Internship AI Software Development

Working student Agentic AI

Product Owner - Healthcare Intelligence Platform

AI Lead, Python Tools

Strategist

Data & AI Consultant

AI House Lead & Community Manager

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van lead data & ai platform

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