Data Engineer (Financial Systems, Fintech)

Booking.com; Amsterdam; On-site; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Pension plan

Annual paid time off

Parental leave

Job summary

Booking.com in Amsterdam seeks a Data Engineer II to own scalable data pipelines and data models, with a focus on data quality. You will contribute to enterprise data warehouse layers on SAP HANA, SAP Datasphere, AWS, and Snowflake, while ensuring monitoring, validation, and root-cause analysis.

You will collaborate with finance and product teams to translate requirements into robust data designs, enforce data governance and security, and deliver high-quality code through Git and CI/CD.

Qualifications

• 3–5 years of relevant professional experience as a Data Engineer, BI Engineer, Analytics Engineer or similar data-focused role.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering or related quantitative field.
• Experience with dbt and descriptor file formats such as YAML; exposure to Apache Airflow is a plus.
• Hands-on experience with data modeling (dimensional modeling or Data Vault) and data exposure for analytics, finance and product stakeholders.
• Strong SQL knowledge (stored procedures, functions, tuning) and Python for data processing.
• Experience with Git (GitHub/GitLab), CI/CD and automated deployment pipelines is a plus.
• Exposure to SAP HANA/SAP Datasphere/SAP HANA Cloud, Snowflake or SAP data products is a plus.

Responsibilities

• Develop, test and maintain scalable data pipelines and data models.
• Own data quality, validation logic, monitoring, and root-cause analysis.
• Build and support enterprise data warehouse layers on SAP HANA, Datasphere, AWS and Snowflake.
• Collaborate with finance and product stakeholders to translate requirements into robust data designs.
• Ensure governance, security and data contracts in a regulated environment.
• Deliver high quality code through Git and CI/CD pipelines.
• Act as a liaison for technical and business stakeholders on data engineering issues.
• Support data storytelling and AI consumption layers for semantic models.

Job description

• As a Data Engineer II, you will be in charge of the development, performance, quality and scaling of the data pipelines and data models in your team’s domain, with a particular focus on data quality. You will work independently on well-scoped problems and will also contribute to technical decisions within the team
• Developing, testing and maintaining scalable data pipelines, data models and integrations that improve the quality, traceability and accessibility of financial data across our core systems
• Building and supporting the layers of our enterprise data warehouse - staging, core/integration and semantic/consumption - on SAP HANA, SAP Datasphere, AWS and Snowflake
• End-to-end ownership of data quality in the datasets and pipelines you deliver, including validation logic, monitoring, automated failure detection and root cause analysis
• Responsible for data loading, production monitoring and system performance, solving issues with data and data pipelines and prioritizing based on customer and finance process impact
• Engaging with finance and product stakeholders to understand their needs and translating requirements into logical and technical data designs, surfacing technical trade-offs early
• Applying the data governance, security and compliance controls required in a regulated payments and e-money environment, including roles and privileges, documentation and data contracts
• Writing high-quality, reusable and reviewed code that meets our coding standards, and delivering changes through Git and automated CI/CD pipelines
• Serving as a point of contact for technical and business stakeholders regarding data engineering issues, such as pipeline failures and data quality concerns, and supporting the training of key users
• Building AI consumption layer for rich semantic data models

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options

Experience building data exploration and visualization solutions and designing data storytelling for business usersYou have 3-5 years of relevant professional experience as a Data Engineer, BI Engineer, Analytics Engineer or in a similar data-focused role, and hold a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering or a related quantitative fieldExperience with dbt and with descriptor file formats such as YAML; exposure to orchestration tooling such as Apache Airflow is a plusExperience leveraging AI-assisted tools to accelerate data modeling, query optimization and data analysis is a plusYou have practical experience with data modeling - dimensional modeling or Data Vault - and understand how to model, transform and expose data so it can be trusted and effectively used by analytics, finance and product stakeholdersExposure to security concepts in Snowflake is a plusExperience with SAP data products is a plus: SAP S/4HANA data structures and CDS/embedded extraction, BW/4HANA, and XSA and DB security concepts such as roles and privilegesYou have hands-on experience building and operating production-grade data pipelines and ETL/ELT solutions in cloud and hybrid environments, with a strong focus on scalability, reliability and data qualityExperience with Git concepts (GitHub/GitLab) is a must; experience with CI/CD and automated deployment pipelines is a plusStrong knowledge of SQL, including stored procedures, functions and performance tuning on large enterprise datasets, is required; working knowledge of Python for data processing and automation is expectedHands-on experience with one of the following is a plus: SAP HANA including XSA development, SAP Datasphere or SAP HANA Cloud, or Snowflake - combined with the ambition to grow across the full SAP and Snowflake stackSuperior attention to detail and quality, strong analytical and problem-solving skills, and the ability to manage multiple priorities in a quick turnaround environmentExcellent communication skills in English, both verbal and written, are essential; you are able to work effectively with finance stakeholders, product managers and engineers, and to translate requirements into robust technical solutions that enable high-quality data productsFamiliarity with Agile frameworks (Scrum or Kanban) and collaborative delivery tools such as Jira; familiarity with Data Product concepts, including data contracts and reusable, user-centric data models, is a plusKnowledge and experience of SAP-based financial reporting, or a track record of working closely with finance stakeholders, is a plusYou are independent, organized, flexible, proactive and result-oriented, with a proven ability to adopt new technologies and to own a process end to end