Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Van Lanschot Kempen ищет Data Engineer в IMTA для создания и эволюции платформы данных и аналитики, используемой инвестиционными специалистами. Вы будете развивать продакшн-конвейеры, реализовывать quality checks и улучшать надёжность платформы.
Требуется опыт в Python, SQL, PySpark, Azure/Databricks, Git и CI/CD. Готовность работать гибридно в Нидерландах и взаимодействовать с командами инженеров и бизнес-специалистов.
As a Data Engineer within Investment Management Technology & Analytics (IMTA), you will help build and evolve the data and analytics platform used by investment professionals across Van Lanschot Kempen.
develop production-grade data pipelines and transformations using Python, SQL and PySpark design data models that turn complex investment and sustainability data into well-structured, reusable datasets build automated data-quality checks and engineering tests to ensure that our data is trustworthy improve the reliability, performance, observability and maintainability of our data platform contribute to engineering standards, architecture and technology choices within the team use CI/CD and automated deployment practices to safely bring changes into production collaborate directly with investment, risk and reporting specialists to translate business needs into robust technical solutions help improve the team's software engineering practices and development processes explore new technologies and opportunities in data engineering, analytics and AI where they can create business value
have a bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, Finance or a related field, or equivalent professional experience have approximately five years or more relevant data engineering experience. have strong programming skills in Python and SQL are familiar with distributed data processing, for example using PySpark or an equivalent technology understand data modelling and the principles of data quality and automated testing have experience working with cloud-based data platforms. Experience with Azure and Databricks is particularly relevant are comfortable working with Git, CI/CD and modern software-development practices enjoy taking ownership of solutions from design and development through to production enjoy collaborating with both engineers and business specialists are curious, pragmatic and motivated to continuously improve both the technology and the way the team works Будет плюсом: Software engineering experience is nice to have; Experience with investment, financial or sustainability data is valuable, but not essential
A good work-life balance with our 'hybrid way of working' is a good example of this.
A gross monthly salary between € 5.500 and € 7.000 depending on your knowledge and experience