Title: VP of Engineering - AI & Data Platform Modernisation

Location: Berlin, Germany (Hybrid)
Domain: AI/ML | Data Platforms | Product Engineering

About the Company

Our client is a global technology leader revolutionising enterprise solution across TravelTech, FinTech, and ProcurementTech. With a strong legacy of innovation, they are investing heavily in AI and data modernisation to deliver smarter, faster, and more personalised services to Fortune 500 clients worldwide.

The Opportunity

We're hiring a VP of Engineering to lead the transformation of a legacy data ecosystem into a modern, cloud-native, AI-first platform. This role will directly support a cutting-edge AI-powered suite and define the data strategy powering real-time decision-making across multiple product lines.

Reporting to the CTO, you will spearhead a multi-year roadmap focused on Lakehouse architecture, real-time data pipelines, and intelligent data activation.

Key Responsibilities

Lead the shift from on-prem systems to cloud-native Lakehouse architecture (AWS, Databricks, Kafka).
Design scalable, real-time pipelines for analytics and AI/ML workloads.
Integrate tools such as dbt, Monte Carlo, and reverse ETL frameworks to ensure high data reliability.
Architect data foundations for AI features, including recommendations and scoring models.
Build and scale a distributed engineering team across Europe and Asia.
Partner with cross-functional stakeholders to embed data-driven intelligence into all services.

What You'll Bring

10+ years in data engineering/architecture; 5+ years in leadership roles.
Hands-on experience delivering AI-first product platforms.
Expertise in modern cloud ecosystems (AWS, Snowflake, Spark, Kafka, Airflow).
Strong grasp of MLOps, real-time data pipelines, and data quality governance.
Proven ability to lead multi-location engineering teams and execute transformation roadmaps.
Excellent communication and stakeholder management skills.

Nice to Have

Experience building AI/ML platforms in product-first or scale-up environments.
Familiarity with procurement/travel, or logistics domains.
Background in event-driven architectures and real-time analytics.

Why This Role?

Drive the transformation of a legacy system into a modern AI/ML-driven platform.
Own strategic data architecture across global product lines.
High-visibility leadership position reporting directly to the CTO.
Build platforms that enable next-gen personalisation and automation.

Next Steps

Ready to lead an AI-first transformation and build something industry-defining?

Apply Below!!