Data Analytics Engineer II

Booking.com; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work or on-site HQ facilities

Generous paid time off and leave

Job summary

Booking.com is seeking a Data Analytics Engineer II to design and build data foundations, pipelines, and reusable data products powering measurement, reporting, and experimentation across programs. You will own end-to-end data quality and governance for datasets used in company-wide reporting and enable self-serve analytics for stakeholders.

You will translate business needs into scalable models, collaborate with product owners and scientists, and ensure robust data pipelines in a Lakehouse/Data

Qualifications

• 3+ years experience in data or software-adjacent field with data infrastructure scale.
• Experience designing and implementing mature Data Warehouse pipelines (Data Vault or Dimensional modelling).
• Strong at writing high-quality, reusable code and applying design patterns.
• Experience in DevOps/DataOps environments and with ELT/ETL tools.
• Experience with scheduled workflow tools like Apache Airflow or Argo.
• Experience with relational databases and SQL in an analytical context.
• Experience with data exploration/visualisation and data storytelling.
• Excellent communication and stakeholder management.

Responsibilities

• Drive reliable metrics defined by the business, connecting datasets into unified data products.
• Produce curated analytical data products for self-serve analytics across departments.
• Own data quality and governance for datasets used in company-wide reporting.
• Model data using Data Vault and Dimensional modelling practices.
• Transform large data sets into actionable insights for historical or predictive analysis.
• Perform data governance tasks including data classification and quality monitoring.
• Build data visualisations to validate data products before release.
• Maintain and optimize data pipeline health and troubleshoot issues.

Skills

Data Warehousing

SQL

DataOps

ELT/ETL

Airflow/Argo

Data exploration/visualisation

Stakeholder management

Communication

Tools

Apache Airflow

Argo

Job description

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 can empower everyone to experience the world.

Role Description

As Data Analytics Engineer II, you will design and build the data foundations, pipelines, and reusable data products that power measurement, reporting, and experimentation across our programs. You will translate business needs into scalable models, own end-to-end data quality and governance for datasets used in company-wide and public reporting, and enable self-serve analytics for stakeholders across the business.

Key Job Responsibilities and Duties

• Drive the implementation of reliable and well trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.
• Produce curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments.
• Enter a new area, own the quality of the data and work with product owners and scientists to develop the analytics backlog.
• Model data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.
• Transform large, complex data sets into pragmatic, actionable insights and provide them in a consumable format for historical or predictive analysis.
• Perform Data Governance responsibilities such as technical stewardship, data classification, compliance management, data quality monitoring, and security considerations.
• Build data visualizations to trial/validate data products you build before releasing to customers.
• Maintain and tune data pipeline health, including troubleshooting issues.

Qualifications & Skills

• Minimum of 3+ years of required experience in a data or software-adjacent field, working with systems and data infrastructure at scale.
• Experience in designing and implementing mature Data Warehouse pipelines using Data Vault and/or Dimensional modeling methodologies.
• Highly skilled at writing and maintaining high-quality and reusable code, applying design patterns and meeting coding standards.
• Experience working in a DevOp/DataOps environment.
• Experience with ELT/ETL tools and methodologies.
• Experience using scheduled workflow management tools such as Apache Airflow or Argo.
• Experience/Expertise with relational databases and any flavour of SQL in an analytical context.
• Experience with data exploration/visualisation and data story telling.
• Strong stakeholder management and commercial awareness - experience translating ambiguous product / business questions into data models, metric definitions and data products
• Excellent communication (written and spoken) and stakeholder management.

Strongly Preferred

• Experience building or supporting data products for online experimentation measurement (ideally in complex / non-standard experimentation settings)
• Experience building data products for customer analytics - modeling behavior such as cohorts, funnels, retention, progression across product states or lifecycle stages etc.

Benefits & Perks: Global Impact, Personal Relevance

• 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

DEI: Diversity, Equity and Inclusion at Booking.com

Diversity, Equity and Inclusion (DEI) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just create a unique workplace, it also creates a better and more inclusive travel experience for everyone."

We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process. Please contact us to request adjustments.

Application Process

The interview process will entail an initial call with one of our Recruiters, and a total of 3 interviews, all conducted via Zoom video conferencing.

This role does not come with relocation assistance.

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.

Key Skills

• Experience in designing and implementing mature Data Warehouse pipelines using Data Vault and/or Dimensional modeling methodologies.
• Highly skilled at writing and maintaining high-quality and reusable code, applying design patterns and meeting coding standards.
• Experience working in a DevOp/DataOps environment.
• Experience with ELT/ETL tools and methodologies.
• Experience using scheduled workflow management tools such as Apache Airflow or Argo.
• Experience/Expertise with relational databases and any flavour of SQL in an analytical context.
• Experience with data exploration/visualisation and data story telling.
• Strong stakeholder management and commercial awareness - experience translating ambiguous product / business questions into data models, metric definitions and data products
• Excellent communication (written and spoken) and stakeholder management.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.