Senior Analytics Engineer

TL;DR

Senior Analytics Engineer (Analytics Engineering): Build trusted, self-serve datasets and reporting layers in Omni to power Marketing performance reviews, campaign reporting, attribution analysis, and funnel health monitoring with an accent on scalable analytics engineering practices. Focus on solving complex data quality, metadata, and lineage challenges across Marketing and GTM systems while enabling stakeholders to use decision-ready insights.

Location: Remote (UK; Ireland; Portugal)

Company

hirify.global provides digital product companies with payment infrastructure via a Merchant of Record model.

What you will do

• Create trusted, self-serve datasets and reporting layers in Omni for Marketing performance reviews, campaign reporting, attribution analysis, funnel health monitoring, and investment decision-making.
• 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 dataset metadata: documentation, lineage, ownership, definitions, data quality checks, and sensitive data masking.
• Partner with Marketing stakeholders to translate business questions into 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 for audience segmentation, lifecycle programs, campaign optimization, and GTM workflows.

Requirements

• Location: must be based in the UK, Ireland, or Portugal.
• Extensive experience in analytics engineering (or related data roles) with advanced SQL, dbt, and Snowflake.
• Proficiency with BI tools such as Tableau, Looker, PowerBI, or Snowsight to deliver actionable insights.
• Experience with data ingestion and activation using no-code tools such as Fivetran and Stitch.
• Strong knowledge of metadata management, documentation, data quality checks, and sensitive data masking.
• Experience working with Marketing and GTM data concepts (campaign tracking, attribution, funnel stages, lifecycle, paid media, web analytics, CRM, and marketing automation).

Culture & Benefits

• Digital-first work model: remote work, with access to hubs and flexibility to work in both ways.
• Unlimited holidays and 4 months paid family leave (regardless of gender).
• Learning support via an annual learning fund and regular internal/external training.
• Transparent, collaborative, and respectful culture with a focus on removing invisible barriers.