Main DescriptionAre you ready to harness the power of data to drive positive change and shape the future of Wealth Management? At Van Lanschot Kempen, we're on a journey onwards together-preserving and creating wealth for our clients and society in a sustainable way.
As a Data Engineer within our forward-thinking Digital Innovation & Analytics department, you'll be a vital member of our Non-Financial Risk and People Analytics team. Here, you'll collaborate closely with colleagues across disciplines in an agile Scrum environment, where expertise, trust, and ambition come together.
Your impact will be tangible: you'll design and automate business processes, build insightful data products-including advanced models, interactive dashboards, and cutting-edge AI solutions-and play a key role in empowering smarter, data-driven decisions. Together, we focus on domains at the heart of responsible banking: Compliance, Non-Financial Risk, Internal Control, and HR.
If you're passionate about using data and AI to build a sustainable, solution-oriented future-and you thrive in a culture that values expertise, responsibility, and entrepreneurial spirit-come join us. Let's shape what's next in wealth management, together.
You support the team with current BI challenges and bring solid experience with Power BI. But your enthusiasm doesn't stop there-you are passionate about AI developments and closely follow the latest innovations in the field. While working, you are continuously developing yourself towards becoming an AI Engineer. You help stakeholders build AI and analytics solutions that simplify, accelerate, and make work more predictable and efficient. Your proactive mindset ensures that you not only solve today's issues but also anticipate future needs in business intelligence and artificial intelligence.
You also have the following tasks:
- Data Pipeline Automation: Setting up automated ETL (Extract, Transform, Load) processes to create models on our analytical platforms.
- Create and maintain data models in Power BI
- Develop and deliver comprehensive Power BI reports to analysts and decision-makers
- Bring value to the business by inventing, designing, developing and deploying technical solutions in a responsible way.
- Research proactively for novel methods to approach problems and challenges.
- Support model deployment, with an emphasis on auditability, versioning, and data security.
- Apply best practices in software development, including CI/CD and automation, to ensure scalable and maintainable solutions.
Requirements"Passionate about (AI) technology, collaborative, and analytical". This is how we can best describe you in the position of Data Engineer. Talents that you use to continuously mitigate non-financial risks for our stakeholders by applying data engineering and AI solutions. And thinking out of the box and asking questions. All will be well if you have a strong background in Data Engineering using Databricks and Power BI and also:
- 2-4 years of experience in data engineering or similar roles
- Experience with dimensional modelling in Power BI
- Skilled in Python programming: Proficient in writing, debugging, and optimizing Python code for data engineering tasks
- Good knowledge of SQL & PySpark
- Experience with Azure Databricks: Hands-on experience with Databricks notebooks, workflows, and unity catalog, including developing and managing complex data pipelines
- Experience with CI/CD pipelines, Azure Data Factory, and Databricks Asset Bundles to build, automate, and manage scalable data integration and transformation pipelines.
- Knowledge of Power Apps/Power Automate is a plus.
- Experience with AI models, frameworks, and libraries. Experience with Azure AI Foundry is a plus.
- At least 2 years working in an Agile (SCRUM) environment, using Microsoft DevOps and Git version control.
- A creative and problem-solving mindset with a keen interest in learning new technologies and trends
- Good mastery of English, both oral and written.
Your talentsInvesting in a more future-oriented, sustainable, and data-driven way with various clients; both nationally and internationally. With over 300 years of experience, we make this ambition a reality at Van Lanschot Kempen. We do this with approximately 2,200 colleagues in various fields of expertise.
The Digital Innovation & Analytics department is a start-up like environment within Van Lanschot Kempen. This means that the work environment offers the exciting and ambitious character of a start-up combined with the solid benefits of a large company.
An organization's degree of innovation and agility also depends on the diversity of its workforce. Our differences make us stronger. We promote an inclusive work environment where all colleagues feel at home. With us, you can be yourself. And we are proud of that.
Curious about the stories of colleagues and how they experience working at Van Lanschot Kempen? Go to Podcasts and find out more!
BenefitsThat's what we do! The fact is, if you add value, you can expect the same from us in return. A good work-life balance with our 'hybrid way of working' is a good example of this. As a Data Engineer, you will also be given:
- A gross monthly salary between € 4.300 and € 5.700, depending on your knowledge and experience.
- additional flexible budget of 19.47% of your gross salary (containing a 13th month, 8% holiday allowance & 7 extra legal leave days) You can utilize this by buying a bike, monthly gym membership, but also to save up for a sabbatical! It's also possible to get the full budget paid out at any moment in the year.
- 27 leave days of which 7 are part of the flexible budget.
- working from home equipment such as electric standing desk, chair, a number of screens of your choice can be ordered and sent to your home.
- 1 month fully paid when you take a sabbatical of 3 months or longer.
- your commute to work is compensated, including green options of walking and biking to work!
- working from home allowance.
- up to 2 months of working from abroad per year.
- Dutch and English language courses.
Apply NowEnthusiastic about the vacancy? Applications via e-mail or LinkedIn won't be taken in consideration,
please apply on our website.
If you have any questions, please get in touch with Jessica Martins, Recruiter, on +31 (0)6 57683187 or at j.martins@vanlanschotkempen.com
