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Paddle

Senior Analytics Engineer - Marketing

RemoteUnited Kingdom only
Published
Role
Data Engineering
Experience
Senior
Employment
Full-time
Salary not disclosed
Check eligibility

Open to GB only. Set where you work from to check your eligibility.

No BS summary

Senior analytics engineer for Marketing data. Needs extensive analytics engineering/data experience with advanced SQL, dbt, Snowflake, BI tools, and GTM/Marketing data concepts. UK-based role.

Core skills

SQLdbtSnowflake

Required skills

BI toolsOmniFivetranStitchSalesforceHubSpotMarketoGoogle Analytics

What you'll do

  • Create trusted, self-serve datasets and reporting layers in Omni that power Marketing performance reviews, campaign reporting, attribution analysis, funnel health monitoring, and investment decision-making.
  • Proactively identify and resolve data quality issues across Marketing and GTM systems, including source tracking, campaign metadata, funnel stage completeness, attribution coverage, and spend data.
  • Add comprehensive metadata to datasets, including documentation, lineage, ownership, definitions, data quality checks, and sensitive data masking.
  • Partner with Marketing stakeholders to translate business questions into robust data products, dashboards, analyses, and decision-ready insights.
  • Enable Marketing teams to confidently use Omni and core GTM datasets through documentation, training, office hours, and self-serve resources.
  • Activate data from Snowflake into operational tools where needed, supporting audience segmentation, lifecycle programmes, campaign optimisation, or GTM workflows.

What they require

  • Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake.
  • Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders.
  • Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems.
  • Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively.
  • Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions.
  • Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment.
  • Familiar with Marketing and GTM data concepts such as campaign tracking, attribution, funnel stages, lead/account lifecycle, pipeline generation, paid media, web analytics, CRM data, and marketing automation data.
  • Experienced with common GTM tools such as Salesforce, HubSpot, Marketo, Google Analytics, ad platforms, enrichment tools, or similar. The exact stack is less important than the ability to understand how GTM data is created, transformed, and used.
  • Comfortable working across Marketing, RevOps, Sales, Finance, and Data to align definitions, reporting logic, and ownership.

Benefits

  • Transparent, collaborative and respectful culture.
  • Digital-first company, which means you can work remotely, from one of our stylish hubs, or even a bit of both.
  • Unlimited holidays.
  • 4 months paid family leave regardless of gender.
  • Annual learning fund.
  • Regular internal and external training.
  • Constant exposure to new challenges.

Paddle offers SaaS companies payment infrastructure as a Merchant of Record, handling payment fragmentation for customers.

FintechMid-size
Salary not disclosed