Data Domain Lead
Make a difference with data
At Dibber, we believe every child is valuable and deserves the opportunity to thrive. Data plays a critical role in helping us create the best possible learning environment across our kindergartens and schools. As a Lead Data Specialist, you will design and maintain data architectures and pipelines, ensuring data quality, accessibility, and value creation across the company.
You will strengthen Dibber’s data capabilities and contribute to our mission-driven organization.
About Dibber
Dibber is one of the fastest growing and most innovative early childhood education providers in the Nordics, with over 600 centres in 9 countries. Our vision is simple yet powerful: “We develop lifelong learners with a heart for the world.”
What makes us different is our Heart Culture — an approach where we put relationships, belonging, and human values at the centre of everything we do. For us, education is not just about knowledge, but about nurturing curiosity, empathy, and resilience.
By joining Dibber, you will become part of an international organization that blends entrepreneurial spirit with social responsibility. You will collaborate with diverse teams, contribute to global development, and experience how data-driven insights can transform the way children grow and learn.
About the Role
In this role, you will work closely with colleagues in Finance, IT, and other business areas, combining hands-on technical work with strategic input to develop our data landscape.
Your responsibilities will include:
• Design, build, and maintain data pipelines and architectures using Azure, SQL, Python, Notebooks, (potentially DataBricks or Data Factory etc.)
• Develop automation solutions to improve efficiency and data reliability.
• Manage and maintain master data processes and governance.
• Perform testing and monitoring to ensure data quality.
• Contribute to data modeling and architectural decision-making.
• Act as a subject matter expert and collaborate across teams to strengthen data-driven decision-making.
• Take full ownership of the Azure environment for BI/Lakehouse and deliver end- to-end solutions from concept to production.
About You
• Higher education in computer science, engineering, or a related field (or equivalent experience).
• 5+ years of experience in data engineering or architecture, with hands-on expertise in designing, developing, and optimizing data pipelines.
• You have solid experience with SQL and Python and are comfortable working hands-on in Lakehouse and Data Warehouse environments.
• You are familiar with modern development practices such as DevOps and have experience or interest in working with cloud platforms like Azure.
• You are curious about new technologies and take initiative to improve ways of working and you enjoy working hands-on with both coding and infrastructure.
• You are pragmatic, collaborative, and comfortable taking ownership in a low-structure, high-trust environment.
• You are fluent in English, our working language, and able to communicate technical concepts in a clear and accessible way. You are also comfortable collaborating across both technical and non-technical teams.
What We Offer
• A meaningful role in a purpose-driven global organization.
• High level of autonomy and influence on how we build our data ecosystem.
• Flexible working hours and the possibility to work from home.
• Influence how Dibber uses technology to grow and innovate.
• A friendly, down-to-earth work culture built on trust and collaboration.
If you are ready to use your data expertise to make an impact that goes beyond business, we would love to hear from you.
Apply here: https://stillinger.greatpeople.no/job/453436