Senior Analytics Engineer - Snowflake/dbt, Mentoring, Remote

Paddle

Ireland

Hybrid

EUR 90,000 - 120,000

Full time

13 days ago

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Benefits offered by this job

Unlimited holidays
Paid family leave

Job summary

Paddle seeks a Senior Analytics Engineer to shape data infrastructure, build robust models in Snowflake with dbt, and promote best analytics engineering practices. You will collaborate with stakeholders to deliver high-value data solutions and mentor junior teammates.

Responsibilities include data modeling, enabling self-service analytics, data quality, and metadata governance across a global organization. This role supports a remote-friendly, hybrid work setup across regions.

Qualifications

  • Extensive experience in analytics engineering or related data roles with expertise in advanced SQL, dbt and Snowflake.
  • Proficiency with BI tools (Tableau, Looker, PowerBI, Snowsight) to deliver clear insights for stakeholders.
  • Experience ingesting and activating data using no-code tools for efficient data integration.
  • Knowledge of metadata, data quality checks and data masking to protect sensitive data.

Responsibilities

  • Create and maintain complex, scalable data models in Snowflake using dbt.
  • Expose datasets effectively in BI tooling to enable self-service analytics.
  • Perform data ingestion tasks using no-code tools and ensure streamlined data flows.
  • Add metadata, data quality checks and masking to datasets.
  • Push data from Snowflake into other operational tools to activate data.
  • Proactively raise data quality issues to process owners for resolution.
  • Lead training sessions to drive adoption of BI tools across the organization.
  • Mentor junior analytics engineers to foster knowledge sharing.

Skills

Advanced SQL
dbt
Snowflake
BI tools

Tools

Snowflake
dbt
Fivetran
Stitch

Job description

Paddle seeks a Senior Analytics Engineer to shape data infrastructure, build robust models in Snowflake with dbt, and promote best analytics engineering practices. You will collaborate with stakeholders to deliver high-value data solutions and mentor junior teammates.

Responsibilities include data modeling, enabling self-service analytics, data quality, and metadata governance across a global organization. This role supports a remote-friendly, hybrid work setup across regions.

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