Data Engineer

1 day ago

Stockholm, Stockholm, Sweden Länsförsäkringar AB Full time
  • Ansök senast: 16 januari 2026

  • Stockholm
  • Hybrid


Arbetsuppgifter

Vill du vara med och forma framtidens AI-lösningar och driva innovation inom datainfrastruktur och avancerad analys? Vi söker nu en Data Engineer med några års erfarenhet som vill ta en ledande roll i att strukturera och optimera våra operativa dataflöden – från insamling till produktion. Välkommen till en framtidsresa inom AI på Länsförsäkringar AB

Om jobbet

Vi står just nu inför ett spännande skifte där vi håller på att utforma våra dataflöden från grunden i vår nya dataplattform. Du kommer ha en nyckelroll i att besluta hur vi skall strukturera och transformera data från en mängd olika källsystem, med målet att skapa enhetliga dataströmmar till vår framtida feature plattform.

Vår data strömmas idag in i en data-lake via en Change Data Capture (CDC)-lösning. Eftersom våra källsystem har olika datamodeller och nyckelstrukturer, blir en central del av din roll att bryta isär, harmonisera och modellera om data så att den blir lätt att kombinera och använda vidare – oavsett ursprung.

Du kommer att jobba nära systemansvariga, data lake-teamet och data scientists för att förstå källorna, behoven och hur data bäst struktureras för analys, GenAI och maskininlärning. Målet är att bygga moderna, strömmande och skalbara dataflöden som gör det möjligt att serva ML/AI-modeller i realtid.

Dina arbetsuppgifter kommer vara bland annat:

  • Designa, bygga och underhålla skalbara, robusta och pålitliga datapipelines för att hämta, bearbeta och transformera dataset från strömmande data.
  • Strukturera och normalisera data från olika källsystem för att göra den enhetlig och enkel att kombinera.
  • Samarbeta med data scientists för att bygga upp en "feature-plattform".
  • Implementera övervaknings- och loggningslösningar för att spåra och hantera hälsa och prestanda för datapipelines.
  • Hålla dig uppdaterad med de senaste trenderna inom data engineering och aktivt tillämpa nya insikter.

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