Data Engineer GCP, BigQuery & Analytics - 20180/20185

About this job

Job Overview Assignment Description We are seeking an experienced Data Engineer to join the Store & Sales Analytics team in Solna. You will design, develop, and maintain scalable data solutions on Google Cloud Platform (GCP), with BigQuery as the central data warehouse. The role covers the full data engineering lifecycle, from data ingestion and transformation to data modelling and quality assurance. You will work with dbt, SQL, Python, Terraform, and GitHub Actions to deliver reliable, cost-efficient data pipelines that support analytics, reporting, and business decision-making. What You Will Work On Design, develop, and maintain scalable data pipelines and analytical data models. Ensure data quality, reliability, traceability, and consistency. Optimise data solutions for performance, scalability, and cost. Automate testing, deployments, and monitoring using CI/CD practices. Contribute to architecture decisions, technical standards, and development principles. Collaborate with Data Analysts and other technical stakeholders to make data accessible and useful. Take ownership of solutions from design and development through production deployment and maintenance. Build robust production solutions with effective testing, monitoring, and operational reliability. What You Bring Strong hands-on experience with Google Cloud Platform (GCP) and BigQuery. Excellent SQL skills. Practical experience with dbt. Experience with data modelling for analytical use cases. Understanding of performance optimisation, cloud costs, and technical trade-offs. Experience with CI/CD and automated deployments. Experience with Infrastructure as Code, preferably Terraform. Experience with Python. Experience building production-grade data solutions with data quality checks, testing, monitoring, and reliability. Ability to independently analyse problems, propose solutions, and deliver them to production. Strong collaboration and communication skills. Fluent Swedish, both spoken and written. Meritorious Experience with data ingestion using Kafka, Google Pub/Sub, and/or REST APIs. Experience with Node.js or TypeScript. Experience with Looker or LookML. Knowledge of metadata management, data lineage, and observability. Experience working with large datasets and complex data platforms.

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