data engineer in fintech

Booking.com is a travel technology company that uses products, partners and people to make it easier for everyone to experience the world. Its Financial Systems team provides technology expertise to the Finance department and owns the data platform supporting financial processes, regulated payments and e-money services.

• Develop, test and maintain scalable data pipelines, data models and integrations for financial data;
• Build and support staging, core/integration and semantic/consumption layers of the enterprise data warehouse on SAP HANA, SAP Datasphere, AWS and Snowflake;
• Own data quality across delivered datasets and pipelines, including validation logic, monitoring, automated failure detection and root cause analysis;
• Manage data loading, production monitoring and system performance;
• Solve data and pipeline issues and prioritize them based on customer and finance process impact;
• Engage with finance and product stakeholders to understand their needs and translate requirements into logical and technical data designs;
• Apply data governance, security and compliance controls in a regulated payments and e-money environment;
• Write high-quality, reusable and reviewed code that meets coding standards;
• Deliver changes through Git and automated CI/CD pipelines;
• Serve as a point of contact for technical and business stakeholders on data engineering issues;
• Support the training of key users;
• Build an AI consumption layer for rich semantic data models.

• 3–5 Years of relevant professional experience as a Data Engineer, BI Engineer, Analytics Engineer or in a similar data-focused role;
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering or a related quantitative field;
• Strong SQL knowledge, including stored procedures, functions and performance tuning on large enterprise datasets;
• Working knowledge of Python for data processing and automation;
• Hands-on experience building and operating production-grade data pipelines and ETL/ELT solutions in cloud and hybrid environments;
• Experience with dimensional modeling or Data Vault;
• Experience with dbt and descriptor file formats such as YAML;
• Experience with Git concepts, including GitHub/GitLab;
• Experience building data exploration and visualization solutions and designing data storytelling for business users;
• Superior attention to detail and quality, strong analytical and problem-solving skills, and the ability to manage multiple priorities in a quick turnaround environment;
• Excellent communication skills in English, both verbal and written;
• Ability to work effectively with finance stakeholders, product managers and engineers and translate requirements into robust technical solutions;
• Independence, organization, flexibility, proactivity and a result-oriented approach;
• Proven ability to adopt new technologies and own a process end to end;
• Nice to have: Experience with Apache Airflow, CI/CD and automated deployment pipelines, security concepts in Snowflake, SAP HANA including XSA development, SAP Datasphere or SAP HANA Cloud, Snowflake, SAP S/4HANA data structures and CDS/embedded extraction, BW/4HANA, XSA and database security concepts, SAP-based financial reporting or close collaboration with finance stakeholders, AI-assisted tools for data modeling/query optimization/data analysis, Agile frameworks such as Scrum or Kanban, Jira, and Data Product concepts including data contracts and reusable user-centric data models.

• Annual paid time off and generous paid leave scheme, including parent, grandparent, bereavement and care leave;
• Up to 20 days per year working from abroad from the home country;
• Industry-leading product discounts of up to 1400 per year, including automatic Genius Level 3 status and Booking.com wallet credit;
• Opportunity to work on a high-scale product with real-time impact on millions of travelers worldwide;
• Technical, behavioral and interpersonal development through on-the-job opportunities, experimental projects, hackathons, conferences and community participation;
• Part-time and reduced working week opportunities are available, with a minimum of 32 hours per week, subject to terms and conditions;
• This role does not come with relocation assistance.