Data Engineering Lead

11 hours ago


Stockholm, Stockholm, Sweden Toca Boca - Stockholm Full time

Toca Boca - Stockholm is seeking a Senior Analytics Engineer to play a critical role in designing, developing, and optimising dbt models that transform raw data into actionable insights. The ideal candidate will have expertise in dbt and BigQuery, as well as strong stakeholder management skills.

As a Senior Analytics Engineer, you will collaborate closely with data engineers and data scientists to facilitate the creation of reliable, well-structured data models that support advanced analytics and decision-making across the organisation.

You'll work hand-in-hand with data scientists and analysts to understand their needs, ensuring the availability of clean and optimized data for analysis, modeling, and experimentation. Together with the data engineering team, you'll integrate new data sources, optimize materialization strategies, and fine-tune performance to handle large-scale workloads seamlessly.

The successful candidate will be an experienced data professional with a strong track record in dbt model development, including modular code, testing, and documentation. You will have expertise in designing scalable materialization strategies, identifying performance bottlenecks, and optimizing queries for cost-efficiency in BigQuery.

In this role, you will promote best practices in data modeling and foster a culture of collaboration between analytics and engineering teams.

Company Overview

Toca Boca captures the spirit of play and is key within the Digital Games group within Spin Master. We create digital toys and everyday products that are filled with fun and silliness that kids from any corner of the world can instantly relate to.

We focus on sparking kids' creativity and imagination, creating opportunities for open-ended play.

Required Skills and Qualifications
  • Experience in dbt model development, including modular code, testing, and documentation
  • Expertise in designing scalable materialization strategies, identifying performance bottlenecks, and optimizing queries for cost-efficiency in BigQuery
  • Strong stakeholder management skills
  • Comfortable working closely with cross-functional teams, from data engineers to data scientists


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