Yuki stands at the forefront of the accounting and financial administration revolution. Rapidly expanding and driven by our innovative software solutions, we proudly serve more than 70,000 entrepreneurs and hundreds of accountancy firms across Belgium.
At Yuki, we believe better data foundations lead to better products, better decisions, and better customer experiences. To support that ambition, we are looking for a Data Engineer to help build and scale the data foundations behind our analytics, reporting, and AI use cases.
As part of our Data & RevOps team, you will help build the data foundations that support analytics, reporting, and AI-related initiatives across Yuki.
You will work on a mix of data platform, pipeline, and enablement topics, helping ensure that data is reliable, accessible, and structured in a way that supports both business decision-making and product innovation. Working closely with analysts, data stakeholders, and technical teams, you will contribute to building scalable data solutions that strengthen how Yuki uses data across the organization.
Build and maintain data pipelines: Design, build, and maintain reliable ETL/ELT pipelines that move and transform data from operational systems into reporting and analytical environments.
Support the data platform: Help shape and evolve Yuki’s data foundations, including warehousing, data models, and engineering best practices that support scalable reporting and analytics.
Enable analytics and AI use cases: Prepare high-quality datasets and data flows that support internal reporting, product analytics, and AI-related initiatives.
Improve reliability and data quality: Help ensure data pipelines and datasets are robust, well-structured, and reliable enough to support business-critical decision-making.
Collaborate across teams: Work closely with analysts, technical teams, and business stakeholders to translate data needs into practical solutions and improve access to trusted data.
Prototype and innovate: Contribute to experimentation and prototyping where needed, helping the team test ideas quickly while keeping scalability and maintainability in mind.
Document and share knowledge: Create clear documentation and help improve understanding of data structures, flows, and engineering practices across the team.
A background in Computer Science, Data Engineering, Data Science, or another relevant field
At least 2 years of experience building and maintaining ETL/ELT pipelines
At least 2 years of hands-on SQL experience, ideally in a data engineering or warehousing context
Experience working with data warehousing concepts and analytical data models, preferably with Snowflake
Good understanding of data quality, pipeline reliability, and maintainable data structures
Comfort working with both technical and non-technical stakeholders, and ability to explain technical topics clearly
Strong communication skills and willingness to collaborate closely across teams
Fluency in English
Experience with Snowflake
Experience with Databricks, AWS, or similar modern data tooling
Experience with .NET / C#
Experience with database-per-tenant architecture
Experience supporting data pipelines or datasets for AI / machine learning use cases
Most importantly, you enjoy building reliable data foundations and are excited by the opportunity to help Yuki grow its data capabilities.
Personal development: A generous training budget available from day one for specialized certifications, courses, training, and more to strengthen your technical expertise.
Time off and flexibility: A hybrid working model and generous time-off policies, because we believe work-life balance is important.
Well-being & focus: Access to lifestyle coaches, lunches, and other initiatives that contribute to your well-being and focus.
Financial security: A competitive base salary with attractive benefits, such as Flex Income Plan (FIP), hospitalization insurance, and a pension plan.
Optimal workplace: The best hardware, including an Apple or Dell laptop.
Plenty of opportunities: Enjoy the speed and autonomy of an innovative scale-up, backed by the stability, vast resources, and global career network of the Visma Group.
Team & international culture: Participate in team-building days and Yuki events that strengthen the close team spirit in a diverse and international environment.
Apply
Apply now, and we’ll get back to you as soon as possible.
Recruiter screen
A first video call with our Talent Acquisition team.
First interview
An initial interview with the hiring team to explore your experience, motivation, and fit for the role.
Case study
A take-home case to showcase how you approach real Revenue Operations challenges.
Technical & presentation interview
Present your case and discuss your functional and technical approach with the hiring team.
Culture fit interview
Meet additional stakeholders to assess collaboration style and overall fit.
Offer
If we see a match, you’ll receive an offer.
