Data Engineer II

Booking.com
Manchester
3 weeks ago
Create job alert

Join to apply for the Data Engineer II role at Booking.com


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 encounter, the journeys you take, the sights you see, and the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.


As a Data Engineer, you’ll work alongside curious, energetic and focused people. You are responsible for delivering our vision to create a fully integrated, scalable, high‑performance and compliant data platform and pipelines. You’ll help roadmap and deliver replacements for the current ad‑hoc data solutions with strong foundations built on modern technologies and practices that will make it easy to produce large quantities of high quality data for consumption and analysis. You are expected to actively contribute to team discussion, share opinions and align behind decisions as if they were your own.


Key Responsibilities and Duties

  • Iteratively develop next‑generation scalable, reliable, flexible, high‑performance data pipeline capabilities and data platforms.
  • Use standardised tooling and procedures to work with business users to model and implement data pipelines that are performant, scalable, reliable, secure, well‑governed with required observability.
  • Engage with other teams as needed to achieve business objectives.
  • Own end‑to‑end data quality in our core datasets and data pipelines.
  • Help teams identify and resolve data quality issues.
  • Maintain data quality, security, integrity and governance by following regulatory requirements, company standards and best practices.
  • Adhere to defined principles for architecture, quality and non‑functional requirements.
  • Mentor and onboard new team members to help them grow professionally.
  • Continuously improve services you own, making them more performant and optimised.
  • Ensure products and services are always kept up to date with the latest technology standards and company guidelines.
  • Ensure service level agreements are met by implementing tests and processes.
  • Perform profiling to find bottlenecks and optimise performance, and set up and monitor performance metrics for product health.
  • Connect business and product goals to complex technical tasks.
  • Prioritise issues, perform root‑cause analysis and prevent recurrence.
  • Contribute to Booking.com’s growth through interviewing, onboarding and other recruitment efforts.
  • Work in an agile environment and contribute towards the team's ways of working.
  • Provide out‑of‑hours support on a rota.

Qualifications & Skills

  • Appropriate degree or suitable background and experience in technology.
  • 3+ years of experience designing, building and optimising data warehouses in databases such as MSSQL (with SSIS), MySQL or Redshift.
  • 1+ years of experience in a scripting language like Python or Scala.
  • Experience in data modelling.
  • Self‑motivated to explore new technologies.
  • Excellent communication skills – able to effectively communicate with both technical and non‑technical stakeholders.
  • Excellent attention to detail.
  • Self‑starter and highly motivated team player.
  • Root‑cause analysis mindset to problem and issue resolution.
  • Fully comfortable working in English, both written and spoken.

Bonus Points For

  • Experience with Python, Airflow, Snowflake, DBT, pySpark.
  • Experience working in a Data Governance L3 environment.
  • Experience with Data Vault modelling.
  • Experience with AWS.
  • Passionate about test automation.
  • Intrinsic curiosity in technological innovations and keeping up with latest trends.

Booking.com’s Total Rewards Philosophy

  • Annual paid time off and generous paid leave scheme including parent, grandparent, bereavement and care leave.
  • Hybrid working with flexible arrangements and up to 20 days per year working from abroad (home country).
  • Industry‑leading product discounts – up to 1400 per year – for yourself, including automatic Genius Level 3 status and Booking.com wallet credit.

Diversity, Equity & Inclusion

Diversity, Equity & Inclusion have been a core part of our culture since day one. Our employees represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. We ensure that colleagues with disabilities are provided the adjustments and tools needed to participate in the job application and interview process, perform crucial job functions and receive other benefits and privileges of employment.


Application Process

  • How we hire – let’s go places together.
  • Detailed instructions on post‑application requirements, deadlines, portfolios, coding challenges or other assessments as defined by the BU or department.
  • This role does not come with relocation assistance.

Equal Opportunity Workplace

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer II

Data Engineer II

Data Engineer II: Architect Scalable, Reliable Pipelines

Data Engineer II: Scalable Data Pipelines (Hybrid)

Data Engineer III - Python, Databricks & AWS

Software Engineer III- Data Engineer, Java/Python

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.