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Experienced Data Engineer

Stockholm, Sweden💼 Full-time🗓 2026-06-17 → 2026-10-02

Core

Designing and implementing modern data platforms, building robust ETL/ELT pipelines, and enabling analytics and AI use cases for public and private sector clients.

Builds

Modern data platforms, ETL/ELT pipelines, data products

Domain

Cloud data engineering, public and private sector consulting

Required skills

Python, SQL, Cloud platforms (Azure, GCP, AWS), ETL/ELT pipelines, Agile methodologies, Swedish (fluent), English (fluent)

Preferred skills

PySpark, BI dashboards, REST/GraphQL APIs, Kafka/stream processing, Terraform, LLMs/VLMs, vector databases, MLOps, Go/TypeScript/Java, ML frameworks

Technologies

Azure, GCP, AWS, Databricks, Redshift, Snowflake, Spark, Kafka, Flink, Terraform, MLflow, PowerBI, Looker Studio, Jupyter Notebook

Responsibilities

Designing and implementing modern data platforms, Building robust ETL/ELT pipelines and data products, Working with cloud-native services and infrastructure, Enabling analytics, AI, and machine learning use cases, Improving data quality, observability, governance, and reliability, Automating workflows and reducing operational overhead

Seniority

Senior, hands-on IC with mentorship responsibilities