data engineer in fintech

Van Lanschot Kempen is a financial institution serving national and international clients through future-oriented, sustainable, and data-driven investment services. Evi is its online wealth manager, operating in a start-up-like environment from Amsterdam and Rotterdam.

• Modernise the commercial data warehouse and prepare the platform for data-driven marketing;
• Build the data foundation for smarter, more personal and more effective marketing;
• Develop and maintain the commercial data warehouse in Azure;
• Ensure that high-quality, reliable and well-structured data is available to the commercial department;
• Translate commercial and client needs into scalable data solutions;
• Improve relevance, personalisation and segmentation through data solutions;
• Create robust data solutions that help commercial teams understand, serve and engage clients;
• Enable future capabilities such as hyper personalisation and data-driven customer journeys;
• Ensure that solutions meet best practices for data quality, security, compliance and scalability;
• Build, optimise and monitor data ingestion and transformation pipelines;
• Develop and maintain data warehouses;
• Design future-ready data models supporting segmentation, campaign automation, analytics and hyperpersonalisation use cases;
• Bridge commercial stakeholders and technology teams by translating business needs into secure, scalable and impactful data solutions;
• Use AI applications to support professional activities.

• Minimum 3 years of full-time experience in data engineering;
• Expertise in Databricks for building, optimising and monitoring data ingestion and transformation pipelines;
• Strong hands-on experience with Azure data services and Azure DevOps, including CI/CD pipelines and infrastructure-aware delivery;
• A growth mindset and genuine interest in marketing, customer behaviour, personalisation and new data technologies;
• Good mastery of English, both oral and written;
• Nice to have: Experience developing and maintaining data warehouses and designing future-ready data models in a marketing, customer analytics or commercial data environment.

• Flexible budget of 19.47% of gross salary, including a 13th month, 8% holiday allowance and 7 extra legal leave days;
• MacBook or Dell with i9 processor and iPhone;
• Flexible working hours;
• Training opportunities and the possibility to attend conferences;
• Excellent pension scheme;
• Up to 2 months of working abroad per year;
• Possibility to exchange free national holidays for religious holidays;
• Other employment benefits.