Martech Data Engineer — In-House Tracking (Remote 1D/wk)

Qred AB; Stockholms kommun; Híbrido; SEK 900.000 - 1.100.000; Jornada completa

Descripción de la vacante

Qred AB is seeking a Martech Engineer to own the technology linking marketing performance with business outcomes. You will manage tracking, consent management, and attribution in-house, scaling systems to support active customers and funded loans across Northern Europe.

You’ll build and maintain CAPI and offline pipelines, establish data governance, and streamline data flows across modern data stacks. A strong SQL skillset and fintech exposure are highly valued.

Formación

• Proven hands-on experience building and maintaining marketing data infrastructure.
• Strong SQL skills with data modeling and query optimization.
• Experience implementing tracking, consent management, and attribution systems.
• Familiarity with cloud data warehouses and data pipelines (BigQuery/Redshift, Fivetran, Funnel).
• Background in fintech/regulated environments is a plus.

Responsabilidades

• Own end-to-end web and server-side tracking setups (GTM, GA4) with GDPR compliance.
• Build and operate Conversion APIs and offline data pipelines across channels.
• Define UTM governance and attribution logic aligned with central data warehouse.
• Consolidate marketing data architecture across Fivetran, Funnel, BigQuery, and Redshift.
• Collaborate with Digital, RevOps, and Web teams on launches and data troubleshooting.

Conocimientos

SQL

Data infrastructure

Herramientas

GA4

OneTrust

Consent Mode v2

Google Tag Manager

Stape

Fivetran

Funnel

BigQuery

Redshift

Descripción del empleo

Qred AB is seeking a Martech Engineer to own the technology linking marketing performance with business outcomes. You will manage tracking, consent management, and attribution in-house, scaling systems to support active customers and funded loans across Northern Europe.

You’ll build and maintain CAPI and offline pipelines, establish data governance, and streamline data flows across modern data stacks. A strong SQL skillset and fintech exposure are highly valued.