1 месяц назад
SAP Data Engineer II (FinTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SAP Data Engineer II (FinTech) (SAP HANA, SAP Datasphere, Snowflake): Building and maintaining scalable financial data pipelines, warehouse models, and integrations across SAP, AWS, and Snowflake with an accent on data quality, traceability, security, and regulated payments. Focus on designing enterprise data warehouse layers, operating production ETL/ELT pipelines, applying governance controls, and building AI consumption layers for semantic data models.
Location: Amsterdam, Netherlands; hybrid working. Up to 20 days per year may be worked from abroad in the home country. This role does not come with relocation assistance.
Company
operates a global travel technology platform and uses data, products, and technology to help people experience the world.
What you will do
- Develop, test, and maintain scalable financial data pipelines, data models, and integrations.
- Build and support enterprise data warehouse layers across SAP HANA, SAP Datasphere, AWS, and Snowflake.
- Own data quality through validation logic, monitoring, automated failure detection, and root cause analysis.
- Manage data loading, production monitoring, system performance, and pipeline issue resolution.
- Translate finance and product stakeholder needs into logical and technical data designs.
- Apply governance, security, and compliance controls for regulated payments and e-money services, including roles, privileges, documentation, and data contracts.
Requirements
- 3–5 years of relevant experience as a Data Engineer, BI Engineer, Analytics Engineer, or in a similar data-focused role.
- Hands-on experience with SAP HANA, SAP Datasphere, SAP HANA Cloud, or Snowflake, with interest in developing across the wider SAP and Snowflake stack.
- Experience with SAP S/4HANA data structures, CDS or embedded extraction, BW/4HANA, XSA, and database security concepts.
- Strong SQL skills, including stored procedures, functions, and performance tuning on large enterprise datasets; working knowledge of Python for data processing and automation.
- Experience building and operating production-grade data pipelines and ETL/ELT solutions, data models using dimensional modeling or Data Vault, and trusted data products for analytics, finance, and product stakeholders.
- Experience with dbt, YAML descriptor files, Git, and GitHub or GitLab; CI/CD and Apache Airflow experience are advantageous.
Nice to have
- Experience with SAP-based financial reporting or close collaboration with finance stakeholders.
- Experience with Apache Airflow, CI/CD, automated deployments, and AI-assisted tools for data modeling, query optimization, and data analysis.
Culture & Benefits
- Annual paid time off and paid parent, grandparent, bereavement, and care leave.
- Flexible hybrid working arrangements.
- Product discounts, Genius Level 3 status, and wallet credit.
- Work on a large-scale travel product used by millions of travelers worldwide.
- Opportunities for technical development through projects, hackathons, conferences, and community participation.
- Part-time and reduced working-week options may be considered, with a minimum of 32 hours per week and applicable conditions.
Hiring process
- Applications proceed through ’s hiring process.
- Successful applicants may undergo third-party pre-employment screening as permitted by applicable law.
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