full time (32-40 hours per week), remote within Europe

👩‍🏫 Who are we?

We at Infinitas Technology (the technology and product development arm of Infinitas Learning) are passionate about understanding and transforming the way people learn. We create educational solutions that touch the lives of everyone around us – both personally and professionally.

For everyone who discovers. For everyone who grows. For everyone who performs and challenges themselves. For your smallest dreams and your biggest ambitions. Learning will take you further. From your first day at school to the next step in your career. Infinitas is there for you and everyone who learns.

🏅 What are our values?

• We reflect the values of the teachers and learners who use our products
• Creativity blossoms only when freed from fear
• Leadership is approachable and supportive
• We take strength from our diversity
• We are all part of, and serve, the Infinitas group of companies

👩🏽‍💻 What do you do?

We are looking for someone passionate about data and problem solving to join us as a Senior Analytics Engineer to help us build a team of autonomous solution builders. You will own the data model and act as an expert on data modelling and applying modern analytics engineering practices utilising our new cloud-based stack (Snowflake, dbt, Dagster and Fivetran). We will rely on you to empower team members by actively spreading your knowledge of these practices.

We're in the process of rethinking how we manage and use our data. This includes migrating data stacks and pulling together and reorganising the team structure around distributed cross-functional collaborative teams. In this role, you will be able to shape our team, processes and platform.

As a Senior Analytics Engineer at Infinitas Technology, you will be responsible for:

• Collaborating with stakeholders to understand the requirements, advising on and influencing the solutions, and taking ownership of delivery.
• Designing and building clean, consistent, tested and well-documented data models from raw data.
• Hands-on delivery of data models using solid engineering practices (e.g., version control, automation, CI/CD).
• Design and implementation of our data architecture alongside our data platform team. (We're in the process of migrating from AzureSQL/ADF to Snowflake/dbt/Fivetran/Dagster).
• Mentoring engineers and analysts on best practices (e.g., data modelling, readable and performant SQL, data quality checks etc.)
• Striving towards continuous improvement of processes and tools.

🧑🏾‍🤝‍🧑🏼 How do we work?

• We work in a single cross-functional Data & Analytics team comprised of Data Engineers, Analytics Engineers, Data Scientists and Data Analysts.
• We work as a distributed team with team members in five European countries. Would you add a sixth to the list?
• We are committed to a remote-first approach and are careful to be deliberate about it. We take care the social aspects of work are not neglected. We do not forget to have fun.
• We are adopting modern agile practices and are moving towards a flow-based (kanban-like) process.
• We like to work together. We support each other and are eager to share knowledge. We often pair up on important work.
• We work iteratively. We look for feedback and apply lessons learned from each step, whether things went well or not.
• We own, run and take responsibility for the things we build.