Financiële diensten
Senior Data Engineer
Gisteren toegevoegd
Sommige details van deze opdracht zijn niet publiek beschikbaar.
Over de opdracht
This Senior Data Engineer role focuses on developing and operating data products that provide reliable, integrated insight into an enterprise application landscape. It combines hands-on data engineering, product development, platform stewardship and the evolution of a target architecture.
Role and responsibilities
As part of an engineering squad, you will take technical responsibility for data products running on a cloud data platform. The scope includes ownership-related information and capabilities, within a broader effort to create scalable products that support an integrated view of an organization's applications. You will contribute to the roadmap for evolving the platform to a modern lakehouse environment.
You will analyse and improve existing data products, and design, build, maintain and optimise data pipelines, APIs and reusable components. Working with business and technical colleagues, you will translate requirements into technical solutions, support the target architecture and prepare platform changes. You will strengthen reliability, scalability, data quality and maintainability, and contribute to knowledge transfer, technical debt reduction and operational improvements.
The work also includes participating in architecture discussions and improving development, testing, monitoring and data quality practices. You will collaborate with other engineering teams on shared capabilities and product evolution. The professional environment brings together business context, platform engineering and data architecture in a large enterprise setting.
The role is based at an organization in the Netherlands. No remote, hybrid or on-site working arrangement is specified.
Eisen
- 5+ years of experience as a Data Engineer
- Strong hands-on experience with a cloud-based data analytics and warehousing platform
- Experience with a cloud-based data engineering platform and Lakehouse architectures
- Strong SQL and Python development skills
- Experience with PySpark and distributed data processing
- Experience designing and implementing ELT/ETL pipelines
- Experience with data modelling and data warehousing concepts
- Experience working in a cloud environment
- Experience with DevOps and CI/CD pipelines
- Strong communication skills and stakeholder management capabilities
- Ability to work independently, take responsibility, and drive work forward
- Fluency in English and Dutch