Knowit, Stockholm
2 days ago
På Knowit hjälper vi våra kunder med att få ut värde av sin data. Genom att skapa skalbara plattformar tillgängliggör våra data engineers kundens data för att bygga såväl AI-agenter som BI-lösningar
Vi erbjuder dig:
- Möjligheten att arbeta i en innovativ och teknikfokuserad miljö med branschledande kunder
- En kreativ och stöttande arbetsmiljö med fokus på personlig och professionell utveckling
- Konkurrenskraftigt förmånspaket med försäkring, pension, årsbonus och god balans mellan arbete och privatliv
Om rollen och ditt team:
I din roll som Data Engineer arbetar du inom hela Data och Analytics-kedjan - från strategi och datainsamling till modellering och analys. Du utvecklar och optimerar data pipelines, säkerställer datakvalité och skapar effektiva datalösningar för våra kunder. Hos oss har du en varierad vardag som bland annat kan innebära:
- Design och utveckling av robusta, skalbara och automatiserade data pipelines (ETL/ELT).
- Implementering och optimering av datalager och molnbaserade lösningar (Azure, GCP, AWS)
- Samarbete med skickliga specialister för att möjliggöra avancerad analys och AI-lösningar
Hos Knowit Datalytics i Stockholm blir du en del av ett team om 50 skickliga specialister inom Data och Analytics bara i Stockholm. Därtill blir du en del av en större helhet med över 4000 erfarna konsulter i Sverige och Norden.
Om dig:
För att lyckas i rollen tror vi att du är en erfaren Data Engineer med teknisk spets inom data- och BI-området. Du trivs med att arbeta både strategiskt och hands-on för att utveckla effektiva och hållbara datalösningar.
Vidare ser vi gärna att du har erfarenhet av några av följande tekniker och områden: Azure, Fabric, Snowflake, Databricks, Azure Data Factory, Synapse, SSIS, DBT, Powerbi, Python, SQL, PySpark, AI/ML.
Som konsult är du nyfiken, lösningsorienterad och samarbetsinriktad. Du har en god förståelse för kundens behov och kan omsätta data till affärsnytta genom smarta och skalbara lösningar. Du behärskar svenska och engelska flytande.
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