Senior Analytics Engineer

The role

You will shape data infrastructure, develop robust data models, and promote analytics engineering best practices. You will collaborate with business stakeholders to deliver data solutions and provide informal mentorship to junior team members.

What you will do

• Create and maintain complex, scalable data models in Snowflake using dbt.
• Expose datasets effectively in BI tooling to enable robust self-service analytics.
• Perform simple data ingestion tasks using no-code tools.
• Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking.
• Activate data by pushing it from Snowflake into other operational tools.
• Proactively identify and raise data quality issues to the respective process owners.
• Lead training sessions and initiatives to drive adoption and effective use of BI tools.
• Mentor junior analytics engineers.

Required qualifications

• Extensive experience in analytics engineering or related data roles.
• Demonstrated expertise in advanced SQL, dbt, and Snowflake.
• Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight).
• Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch).
• Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking.
• Effective at collaborating closely with diverse stakeholders.
• Experienced in conducting training sessions and providing informal mentorship to junior analytics team members.

Benefits

• Attractive salaries
• Stock options
• Unlimited holidays
• Enhanced parental leave
• Retirement plans
• Private healthcare
• Well-being initiatives
• Annual learning fund
• Regular internal and external training

About the company

Paddle offers digital product companies a different approach to payment infrastructure by acting as a Merchant of Record. They serve over 10,000 software sellers in 245 territories globally.