Requirements

Extensive experience in analytics engineering or related data roles with advanced SQL, dbt, and Snowflake skills.
Proficient in BI tools such as Tableau, Looker, PowerBI, or Snowsight to deliver actionable business insights.
Skilled in data ingestion and activation using no-code tools like Fivetran or Stitch for efficient data integration.
Experienced in managing metadata, documentation, data quality checks, and sensitive data masking.
Effective collaboration with diverse stakeholders to understand data needs and deliver impactful solutions.
Experience conducting training sessions and mentoring junior analytics team members.

What you'll be doing

Create and maintain complex, scalable data models in Snowflake using dbt.
Expose datasets effectively in BI tools to promote robust self-service analytics.
Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows.
Add comprehensive metadata including documentation, data quality checks, and data masking.
Push data from Snowflake into other operational tools to activate it.
Identify and escalate data quality issues to process owners for resolution.
Lead training sessions to drive BI tool adoption and effective use across the organization.
Mentor junior analytics engineers fostering knowledge-sharing and professional growth.

Attractive salaries and stock options.
Unlimited holidays and enhanced parental leave.
Retirement plans and private healthcare.
Well-being initiatives to support employee health.
Investment in learning through an annual learning fund and regular training.
Flexible 'digital-first' working approach with freedom to choose when, where, and how to work.
Access to global hubs in Europe (London, Lisbon, Amsterdam, Dublin), North America (Austin, Toronto), and APAC (Singapore) for collaboration and community.