ML Data Engineer — Build Scalable Bidding Pipelines

Hybrid

Job Summary

Work Settings:: Hybride

Toepassen Now

Job Description

Booking.com is seeking a data engineer to build and optimize data pipelines that support large-scale bidding models and ML workflows. You will ingest, transform, and harmonize data across systems to enable reliable analytics and decision-making.

The role emphasizes data quality, governance, and scalable engineering practices, with hybrid working arrangements. Strong SQL, Python/Java/Scala, and cloud experience are expected, along with a learning mindset and English communication skills.

#J-18808-Ljbffr

Toepassen Now

Similar Opportunities

Xccelerated

The Netherlands / Global
Data Engineer: Build Scalable ML-Ready Pipelines
McKinsey & Company

The Netherlands / Global
AI Engineer: Build Scalable AI & Data Pipelines
baann.

The Netherlands / Global
Data Engineer: Build Scalable ML Pipelines for Smart Mobility
Whitevision

The Netherlands / Global
AI Data Engineer: Build Scalable AI Pipelines
Enfint

The Netherlands / Global
AI/ML Data Engineer: Scalable Pipelines & MLOps
Atlassian

The Netherlands / Global
Senior ML Systems Engineer - Build & Scale Pipelines

View all jobs

Naam	Verlooptijd	Beschrijving
ATTBCookie* ATTBUserID ATTB_LinkedUserID	2 jaren 400 dagen 1 jaar	Deze cookies worden gebruikt om de keuze van een gebruiker op thebigjobsite.com te onthouden. Als een gebruiker eerder een voorkeur aangaf, dan wordt die voorkeur in deze cookies opgeslagen.
ATTBTracking*	Session	These cookies are used by ATTB to understand user interaction with the website.
last-search search redirect-stage original-keyword	1 dag Session 1 uur 1 uur	Deze cookies worden door thebigjobsite.com gebruikt om zoekgegevens tussen onze eigen pagina's.
datadome	1 jaar	DataDome is een cybersecuritymiddel om botactiviteiten te detecteren
jja*	1 dagen	jjap is een dienst waarop u zich kunt abonneren om informatie over nieuwe vacatures te ontvangen.

Naam	Verlooptijd	Beschrijving
_ga _gid _gat_gtag_* _ga_JH3TWMTYRK __gads	Typically ranges from session-based (24 hours) to longer-lasting cookies (up to 2 years).	Google Analytics Cookies: Used for tracking and analytics, these cookies collect information about website usage to help understand user behavior. Visitor tracking, session management, and ad performance analysis.
_gcl_au NID DV UULE, EUULE	Typically lasts from a few days to months.	Google Ads / AdSense Cookies: Cookies used for advertisement personalization, conversion tracking, and remarketing by Google Ads. Track ad clicks and impressions, personalize ad content, and measure conversions.
_uetsid _uetvid	Typically lasts from a few days to months.	Microsoft Advertising (Bing Ads): Microsoft's tracking cookies for advertising and user analytics. Track user sessions and unique visitors for remarketing campaigns.
SID SSID SAPISID, APISID SIDCC SOCS AEC	Typically lasts from a few days to months.	Google Account/Authentication Cookies: These cookies are set by Google services (e.g., Gmail, YouTube) to manage user sessions, preferences, and account security. Authentication, session security, and maintaining user preferences.
__secure*	Typically lasts from a few days to months.	Secure Cookies (Potentially Third-Party): Cookies prefixed with __secure* are often used for enhanced security in user sessions or tracking. These are typically first- or third-party cookies, depending on their origin.
MSPTC MUID SRCHD SRCHHPGUSR SRCHUID SRCHUSR USRLOC WLS _EDGE_S _EDGE_V _SS _U ANON	Typically lasts from a few days to months.	These cookies form part of an analytics service that connects data from Bing with actions performed on the website. These cookies allow Bing to serve relevant advertisements to visitors across the Microsoft Bing network
_clck _clsk CLID ANONCHK MR MUID SM	Typically lasts from a few days to months.	Microsoft Clarity: is a cutting-edge behavioral analytics tool that helps us understand user interaction with your website. By using Clarity, we can enhance the user experience.

Start Your Search Here

Cookie-instellingen

Cookie-instellingen

Enfint

ML Data Engineer — Build Scalable Bidding Pipelines

Job Summary

Job Description

Success! You're now signed up for Job Alerts.

Similar Opportunities

Xccelerated

Data Engineer: Build Scalable ML-Ready Pipelines

McKinsey & Company

AI Engineer: Build Scalable AI & Data Pipelines

baann.

Data Engineer: Build Scalable ML Pipelines for Smart Mobility

Whitevision

AI Data Engineer: Build Scalable AI Pipelines

Enfint

AI/ML Data Engineer: Scalable Pipelines & MLOps

Atlassian

Senior ML Systems Engineer - Build & Scale Pipelines