Data Engineer

2 days ago

Stockholm, Sweden Adavo Full time

Vi söker en erfaren och nyfiken Senior Data Engineer som vill bygga framtidens dataplattformar med kvalitet, samarbete och långsiktighet i fokus

Du trivs i gränslandet mellan infrastruktur, data och maskininlärning och drivs av att skapa förutsättningar för andra att lyckas. Du ser helheten, förstår detaljerna och har förmågan att omvandla komplexa tekniska behov till stabila lösningar som håller över tid.

Här blir du en del av ett team som bygger moderna plattformar för data och AI i en miljö där teknik, affär och innovation möts. Tillsammans utvecklar vi säkra och skalbara lösningar som gör det möjligt att omsätta data till insikter – och insikter till verklig affärsnytta.

Ditt uppdrag

Som Senior Data Engineer är du en central del i att utveckla och drifta organisationens data- och AI-plattformar. Du arbetar praktiskt med att bygga effektiva pipelines och infrastruktur som gör det möjligt att köra avancerade analyser och maskininlärningsmodeller i produktion.

Du samarbetar nära dataingenjörer, data scientists och produktteam och bidrar med din tekniska expertis genom hela kedjan – från datakälla till färdig modell. Rollen kräver en tydlig förståelse för DevOps-principer, CI/CD, testbarhet och infrastruktur som kod, samt en trygghet i att arbeta i Linuxmiljöer.

Hos oss får du utrymme att påverka den tekniska riktningen, driva förbättringar och se till att plattformen fortsätter vara robust, effektiv och framtidssäker.

KRAV

Talar flytande Svenska & Engelska

Har flerårig erfarenhet som Data Engineer, DevOps Engineer eller ML Engineer.

Har mycket goda kunskaper i Python och SQL.

Har erfarenhet av att bygga och underhålla pipelines med dbt, Snowflake, Prefect och Apache Spark.

Är trygg i Linuxmiljöer och van vid containerbaserad utveckling.

Har arbetat med infrastruktur som kod, exempelvis Terraform eller Ansible.

Förstår vikten av testdriven utveckling, automation och kvalitet i alla led.

Har relevant teknisk examen eller motsvarande erfarenhet.

Kommunicerar obehindrat på engelska, svenska är meriterande.

Meriterande

Erfarenhet från finanssektorn eller andra reglerade verksamheter.

Kunskap inom prestandaoptimering, observability och säker drift.

Erfarenhet av att etablera DevOps- eller MLOps-processer i växande organisationer.

Intresse för hur data kan omsättas till konkreta beslut och affärsvärde.

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