Data Engineer till konsultbolag i Stockholm
Core
Build and maintain data flows and platforms enabling analysis, reporting, and AI for clients in banking, insurance, trade, industry, and public sector.
Role type
Data Engineer
Builds
Data pipelines, lakehouse and data warehouse environments, integrations with source systems and APIs
Domain
Data engineering, cloud platforms, consulting
Deliverable
production ML models
Required skills
SQL, Python (or Scala), modern data platforms (Snowflake, Databricks, Microsoft Fabric), cloud environments (Azure, AWS, GCP), CI/CD, infrastructure as code
Preferred skills
dbt, Airflow, Azure Data Factory, Spark, streaming (Kafka), Terraform, Databricks/Snowflake/Azure certifications
Responsibilities
Design, build, and maintain batch and streaming data pipelines; model data in lakehouse and data warehouse environments; integrate source systems and APIs; ensure data quality, monitoring, and operational reliability; automate with CI/CD and infrastructure as code; collaborate with analysts, data scientists, and business units
Seniority
Mid-Senior (5+ years experience)
