Data engineer in marketing

Van Lanschot Kempen; Amsterdam; Hybrid; EUR 50,000 - 61,000; Full time

Benefits offered by this job

MacBook or Dell laptop

iPhone

Flexible working hours

2 days/week in office

Training opportunities

Conference attendance

Pension scheme

Work abroad up to 2 months/year

Religious holidays exchange

Job summary

Van Lanschot Kempen ищет опытного Data Engineer для онлайн-wealth менеджера Evi. Вы будете модернизировать коммерческий data warehouse и подготавливать платформу для персонализированного маркетинга.

В обязанностях — разработка и сопровождение хранилища в Azure и конвейеров Databricks, тесное взаимодействие с маркетологами и аналитиками, обеспечение качества и безопасности данных, работа с data-моделями для сегментации и гиперперсонализации.

Qualifications

• Опыт не менее 3 лет в data engineering и страсть к маркетингу.
• Опыт работы с Databricks для ingestion/transform pipelines.
• Знания Azure data services и CI/CD в Azure DevOps.
• Умение строить Data Warehouse и модели данных для сегментации и персонализации.

Responsibilities

• Разрабатывать и поддерживать коммерческое data warehouse в Azure.
• Обеспечивать доступ к качественным данным для коммерческого отдела.
• Сотрудничать с маркетологами и техниками для создания масштабируемых решений.
• Обеспечивать соответствие данным, безопасности и масштабируемости.

Skills

Marketing data mindset

Data-driven

Bridge between business & tech

Curiosity about data

Tools

Databricks

Azure

Azure DevOps

Job description

Описание:

We are looking for an experienced and future-focused Data Engineer to strengthen Evi van Lanschot Kempen, Van Lanschot Kempen’s online wealth manager. As a Data Engineer in Evi’s Commercial Data Team, you play an important role in modernizing our commercial data warehouse and preparing the platform for the next phase of data-driven marketing. In this role, you help build the data foundation for smarter, more personal and more effective marketing by developing and maintaining our commercial data warehouse in Azure.

Задачи:

Develop and maintain our commercial data warehouse in Azure. Ensure that high-quality, reliable and well-structured data is available to the commercial department. In close collaboration with marketers, data specialists, analysts and technology colleagues, translate commercial and customer needs into scalable data solutions that improve relevance, personalization and segmentation. Create robust data solutions that enable commercial teams to better understand, serve and engage customers. Actively consider how data can support future opportunities, such as hyper-personalization and data-driven customer journeys, while ensuring that solutions comply with best practices in data quality, security, compliance and scalability.

Требования:

• Technically strong, curious about marketing and driven by data.
• At least 3 years of full-time experience in data engineering.
• Expertise in using Databricks to build, optimize and monitor data ingestion and transformation pipelines.
• Strong hands-on experience with Azure data services and Azure DevOps, including CI/CD pipelines and infrastructure-aware delivery.
• Experience developing and maintaining data warehouses and designing future-proof data models that support segmentation, campaign automation, analytics and hyper-personalization, preferably in a marketing, customer analytics or commercial data environment.
• A growth mindset and a genuine interest in marketing, customer behavior, personalization and new data technologies.
• The ability to act as a bridge between commercial stakeholders and technology teams, and translate business needs into secure, scalable and impactful data solutions.
• Experience using various AI applications to support your professional work.

Условия:

• A gross monthly salary between €4,500 and €5,500, depending on your knowledge and experience.
• In addition to the stated base salary, a flexible budget of 19.46% of your gross salary, consisting of, among other things, a 13th month, 8% holiday allowance and 7 additional statutory leave days.
• You can use this budget, for example, to buy a bicycle, pay for a monthly gym membership, or save for a sabbatical.
• You can also have the full budget paid out at any time during the year.
• A MacBook or Dell with an i9 processor and an iPhone.
• Flexible working hours; you come to the office twice a week for team meetings or brainstorming sessions and work from home on the other days.
• Training opportunities and the possibility to attend conferences.
• An excellent pension scheme.
• Work from abroad for up to 2 months per year.
• This lets you extend a family visit or vacation by working remotely.
• The possibility to exchange national public holidays for religious holidays.