Data Engineer II - PPC

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

About Team: The PPC team builds and optimizes large-scale ML models for online bidding across all major search providers, owning one of the industry's largest performance and auction strategies to keep Booking.com competitive. We run end-to-end research-to-production cycles-from POCs and modeling to large-scale A/B testing-driving measurable impact by optimizing auction levers at scale.

Role Description: As a Data Engineer in PPC, you will design, build and operate the data foundations and pipelines that power Booking.com's performance marketing bidding algorithms across all major search partners at scale. You will own the ingestion, transformation and serving of large-volume marketing, reservations and auction datasets across our data platforms, ensuring reliability, data quality and governance.

You will work end-to-end: partnering with ML engineers, ML scientists, analysts and PPC specialists to understand business problems and translate them into robust data models; developing and maintaining workflows that feed our bidding, reporting and monitoring systems; and evolving shared data tooling and interfaces used across PPC and other marketing teams. This is a hands-on engineering role with a clear and measurable impact on how we invest our marketing budget and optimize bids at scale.

• Own the end-to-end design, operation, and governance of Booking.com's Business Intelligence Platform (Tableau , Snowflake and beyond).
• Lead the full lifecycle of Tableau Server On-Prem to Tableau Cloud migration: discovery, architecture, planning, execution, testing, cutover, and optimisation.
• Design and evaluate architecture solutions for BI and analytics infrastructure, ensuring scalability, reliability, and compliance with Booking.com's platform standards.
• Build automation for deployments, monitoring, extracts refresh pipelines, housekeeping, and infra/ops workflows.
• Drive performance tuning and capacity planning to support high-volume analytics and self-service BI at scale.
• Act as the primary technical escalation point for Tableau infra and operations, including incident management and root cause analysis.
• Collaborate closely with data engineers, analysts, SREs, and security teams to ensure seamless integrations with data sources, identity systems, and cloud infrastructure.
• Implement and maintain governance frameworks for content lifecycle, permissions, licensing, and cost optimisation.
• Coordinate and mentor two other supporting staff, allocating tasks, reviewing deliverables, and ensuring operational excellence.
• Continuously grow technical and interpersonal skills through hands-on engineering, knowledge sharing, and participation in internal/external learning opportunities.

• 3+ years of experience administering and engineering Business Intelligence Applications at scale.
• Hands-on experience leading a full migration from Tableau On-Prem to Tableau Cloud (SaaS) is nice to have.
• Strong understanding of enterprise BI architecture, including content governance, permissions, extracts, performance optimisation, and site management.
• Experience with infrastructure operations: networking, load balancing, SSO/SAML, certificates, IAM, security standards.
• Proficiency in automation and scripting (Python, Bash, PowerShell or similar).
• Experience working with public cloud environments (AWS preferred) and orchestration/CI pipelines.
• Strong troubleshooting skills and experience resolving complex platform incidents.
• Experience collaborating with cross-functional teams and supporting a large user base.
• Ability to navigate ambiguity, take ownership of platform improvements, and drive them to completion.
• Bachelor's or Master's degree in Computer Science, Engineering, IT, or equivalent industry experience.
• Experience managing or coordinating external vendors is a plus.

• Annual paid time off and generous paid leave scheme including parental (22-weeks paid leave), grandparent, bereavement, and care leave.
• Hybrid working including flexible working arrangements, working-from-home furniture and ergonomic support, and up to 20 days per year working from abroad (home country).
• A beautiful sustainable HQ Campus in Amsterdam that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office.
• Commuting allowance and bike reimbursement scheme.
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers.
• Free access to online learning platforms, development and mentorship programs.
• Global Employee Assistance Program, free Headspace membership.

• Let's go places together: How we Hire
• This role does not come with relocation assistance.