About the Role
As an Analytics Engineer at Viaplay Group, you will build and maintain data pipelines and models that support reporting and analytics across the business. You will take ownership of the pipelines feeding our BI system, ThoughtSpot, and create reliable, reusable tables for analysis. Working closely with analysts and business stakeholders, you will translate business needs into well-structured data that helps us understand user engagement, content performance, and our operations.
Key Responsibilities
•Data Pipelines: Develop, maintain, and improve pipelines that deliver accurate and timely data to ThoughtSpot and analytical tables
•Data Modeling: Use SQL and dbt to transform source data into well-structured, reusable models with consistent business logic
•Development: Use Python to support data processing and automate recurring tasks across analytics workflows
•Data Quality: Build automated tests and validation checks to identify data issues and ensure reliable datasets for reporting and analytics
•Reliability and Performance: Monitor pipeline runs, investigate failures, and resolve data freshness and performance issues. Improve workflows as data volumes and business needs grow
•Collaboration: Work with analysts and business stakeholders to understand their needs, define data requirements, and deliver datasets that answer relevant business questions
•Documentation: Document data models, business definitions, and pipeline dependencies so colleagues can understand, use, and maintain the data
What We're Looking For
We are looking for someone who enjoys building reliable data solutions, takes ownership of their work, and collaborates well with others. In order to thrive in this role, you'll likely have some experience in the following:
•Practical experience with SQL, including writing and maintaining queries for data transformation and modeling
•Hands-on experience with dbt for building and maintaining data transformation models
•Experience using Python for data processing or automation
•An understanding of data modeling and how to structure tables for BI reporting and data analytics
•A structured approach to data quality, with the ability to investigate issues and develop reliable solutions
•A proactive approach to problem-solving and an interest in making data pipelines easier to maintain and scale
•Strong collaboration and communication skills, including the ability to translate business needs into data requirements and explain technical concepts clearly
Bonus if you have:
•Experience working with Databricks
•Background in the streaming or media industry
What We Offer
•30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift
•Various wellbeing initiatives including wellness allowance
•A hybrid model with at least three days a week in the office
•A learning culture that puts you in the driver's seat of your own development
•Hack Days once a year — a week-long initiative to think outside the box and deliver creative, technical solutions
•Unlimited access to Viaplay, including series & viewing events, new release movie rentals, linear channels and more
