About this role
Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
- Job OverviewAssignment DescriptionWe 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.