20 beste vacatures voor de functie van lead data & ai platform in amsterdam, nh (nieuwe medewerkers gezocht)

Lead Data & AI Platform Engineer
OrderYOYO —Amsterdam
- Thuiswerk
- Azure
- Salesforce
- SQL
Snel solliciteren
Data & AI Cost Governance Lead
KPN —Amsterdam Westpoort
- € 5.190 - € 7.803 per maand
- ICT
- Communicatieve vaardigheden
- Reiskostenvergoeding
- Personeelskorting
Snel solliciteren
Data Lead
Effectory —Amsterdam Centrum
- € 90.000 - € 120.000 per jaar
- Fulltime
- Hybride werken
- Azure
- Management
- Engels
- Budget voor professionele ontwikkeling
- Flexibele werkuren
Snel solliciteren
Client Deployment Lead, AI (Europe market)
TheSoul Group —Amsterdam
- Fulltime
- Bachelor
- AI
Snel solliciteren
Data & AI Strategy Consultant
EPAM Systems, Inc. —Amsterdam
- Hybride werken
- AI
- Communicatieve vaardigheden
- Mentale gezondheidszorgprogramma's
- Aanbrengbonus
AI Implementation Lead
team5pm —Amsterdam
- Fulltime
- Hybride werken
- Analytisch vermogen
- Projectmanagement
- Bachelor
Snel solliciteren
Product Lead, Agentic Payments Platform
Airwallex —Amsterdam
- Fulltime
- Salesforce
- Engineering
- Analytisch vermogen
Solution Architect - Data & AI
Cognizant —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Informatica
- Master
Director Engineering, AI & Data - Consumer
Deloitte —Amsterdam
- Parttime
- Azure
- DevOps
- Master
- Bedrijfsfitness
- Flexibele werkuren
Data Governance Implementation Lead
Metyis AG —Amsterdam
- Fulltime
- Hybride werken
- Master
- SQL
- Communicatieve vaardigheden
Snel solliciteren
AI Product Manager
HeadFirst B.V. —Hoofddorp
- € 6.000 - € 8.500 per maand
- Fulltime
- Hybride werken
- Master
- Productmanagement
- ICT
Snel solliciteren
AI for Retail - Practice Lead
Xomnia —Amsterdam Centrum
- € 5.650 - € 8.000 per maand
- Fulltime
- Hybride werken
- Engels
- Master
- AI
Snel solliciteren
AI Deployment Lead – Antwerp
Waterland —Bussum
- Engels
- Master
- AI
Engagement Manager, AI Implementations
Tether Operations Limited —Amsterdam
- Fulltime
- Thuiswerk
- Engels
- Bachelor
- APIs
Senior Solutions Architect - Data & AI
Booking.com —Amsterdam Centrum
- Fulltime
- Bediening
- Master
- ICT
AI Lead, Python Tools
JetBrains —Amsterdam
- Engels
- Java
- Master
Engineering Lead, Payments Platform
Airwallex —Amsterdam
- Fulltime
- Hybride werken
- Informatica
- Oracle
- Salesforce
Digital Product Manager AI
KPN —Amsterdam Westpoort
- € 5.915 - € 7.803 per maand
- Fulltime
- Hybride werken
- DevOps
- Master
- Analytisch vermogen
Snel solliciteren
6 dagen
Senior Data Platform Engineer
Xomnia —Amsterdam Centrum
- € 5.650 - € 6.800 per maand
- Fulltime
- Hybride werken
- Engels
- Master
- ICT
Snel solliciteren
ESG AI Innovation Specialist
Prosus —Amsterdam
- Hybride werken
- Engels
- Analytisch vermogen
- AI

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

Door in te loggen op je account, ga je akkoord met de Algemene voorwaarden van SimplyHired en stem je in met ons Cookie- en Privacybeleid.

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 in amsterdam, nh

Lead Data & AI Platform Engineer

Data & AI Cost Governance Lead

Data Lead

Client Deployment Lead, AI (Europe market)

Data & AI Strategy Consultant

AI Implementation Lead

Product Lead, Agentic Payments Platform

Solution Architect - Data & AI

Director Engineering, AI & Data - Consumer

Data Governance Implementation Lead

AI Product Manager

AI for Retail - Practice Lead

AI Deployment Lead – Antwerp

Engagement Manager, AI Implementations

Senior Solutions Architect - Data & AI

AI Lead, Python Tools

Engineering Lead, Payments Platform

Digital Product Manager AI

Senior Data Platform Engineer

ESG AI Innovation Specialist

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

Related Searches

Lead Data & AI Platform Engineer

Role mission

Core responsibilities

Must-have requirements

Strong-to-have experience

Job Seeker-tools

Werkgeverstools

Bladeren

Blijf verbonden