Data Engineer

Remote work friendly
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WealthArc  is the fastest-growing platform for independent asset managers in Switzerland. Built on the latest technologies, it is the first WealthTech solution offered in a full SaaS model, with the goal to become the future data hub for wealth management and private banking.

We are looking for an experienced Data Engineer to join our WealthArc team. You will use robust cloud-based methods to transform raw data into useful data systems and to ensure high data quality. What is more you will be working with a lot of well-known banks and wealth management companies mainly in Switzerland, expanding internationally. To succeed in this data engineering position, you should have strong analytical skills and the ability to automate the processes of data transformation and data quality assurance. If you are detail-oriented and enthusiastic about cutting-edge technologies to enable upgrading our existing product we’d like to hear from you!



  • At least 3 years of professional experience in data engineering / data analytics
  • Proficiency in SQL
  • Experience with at least one of programming languages: R, Python
  • Experience with version control system
  • Basic knowledge of investment products
  • Drive towards investment or financial data expertise
  • Strong team player
  • Fluent English


  • Design & build reliable data pipelines in the cloud (Azure) focused on investment data from various data sources
  • Consultative approach in designing and building best in class data solutions with an eye toward eliminating redundant data maintenance
  • Ensure high quality and best data model standards for different financial asset classes
  • Use and enhance scalable and robust proprietary cloud-based data engineering tools
  • Identify areas of automation opportunities and implement improvements
  • Work with well-known banks and wealth management companies mainly in Switzerland, expanding internationally
  • Collaborate closely with Product, Customer Success and Engineering teams to define best practices for the investment data management
Nice to have:

Nice to have

  • Background in financial mathematics, quantitative economics or similar
  • Understanding of financial products modelling or experience in financial industry
  • Experience with Microsoft Azure services
We offer:

We offer

  • Possibility to work fully remotely
  • 26 days of paid time off
  • Benefits such as: hackathons, opportunity to participate in Tech Talks, training sessions and conferences
  • Growth in line with rapid scaling of the company
  • Challenging work with exposure to cutting edge technologies dedicated to financial sector
  • Work ethic based on collaboration and innovative approach
  • Collaboration with well-known Swiss and international wealth and financial institutions
  • As much responsibility as you’re able to handle

Apply for this position

We look forward to receiving your application. Please apply with your full CV by sending email to
or by filling the form.

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