Analytics Engineer
Viaplay Group27 days ago
Stockholm, SwedenMid Level
Responsibilities
- Develop, maintain, and improve data pipelines delivering accurate and timely data to ThoughtSpot and analytical tables.
- Use SQL and dbt to transform source data into reusable models with consistent business logic.
- Use Python for data processing and automation across analytics workflows.
- Build automated tests and validation checks to ensure data quality and reliable reporting datasets.
- Monitor pipeline runs, investigate failures, and resolve data freshness and performance issues.
- Collaborate with analysts and business stakeholders to translate business needs into data requirements.
- Document data models, business definitions, and pipeline dependencies.
- Improve data workflows so they are easier to maintain and scale.
Requirements
- Practical experience writing and maintaining SQL 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.
- Understanding of data modeling and structuring tables for BI reporting and analytics.
- Ability to investigate data quality issues and develop reliable solutions.
- Proactive problem-solving approach and interest in maintainable, scalable data pipelines.
- Strong collaboration and communication skills, including translating business needs into data requirements and explaining technical concepts clearly.
- Experience with Databricks is a bonus.
- Background in the streaming or media industry is a bonus.
Benefits
- 30 days of paid vacation annually.
- Attractive pension and insurance scheme.
- Generous parental leave pay.
- Wellbeing initiatives including a wellness allowance.
- Hybrid work model with at least three days per week in the Stockholm office.
- Learning and development opportunities through the company’s learning culture.
- Annual week-long Hack Days for developing creative technical solutions.
- Unlimited access to Viaplay content, including series, viewing events, movie rentals, and linear channels.