Assignment Description
We are seeking a Data Engineer
What You Will Work On
- Design, develop, and maintain scalable data pipelines
- Build and optimize ETL/ELT workflows
- Process and transform large volumes of structured and unstructured data
- Support recommendation engines and personalization solutions
- Ensure high levels of data quality, reliability, and consistency
- Develop and maintain cloud-based data services
- Enable analytics and machine learning use cases through robust data architecture
- Support deployment and operationalization of machine learning models
- Collaborate with business stakeholders to understand and translate business requirements
- Participate in solution design, implementation, and maintenance activities
- Improve platform scalability, performance, and operational efficiency
- Support integration of machine learning capabilities into customer-facing solutions
- Contribute to data governance, monitoring, and observability initiatives
- Work closely with development, analytics, and data science teams
- Drive continuous improvements in data engineering practices and platform capabilities
What You Bring
- Strong experience processing and transforming large-scale datasets
- Hands-on experience with:
- SQL
- DBT
- Data Transformation
- Data Modeling
- Strong programming skills in Python
- Experience working with Google Cloud Platform (GCP)
- Experience developing and maintaining scalable data solutions
- Experience building and supporting data pipelines in production environments
- Experience operationalizing and deploying Machine Learning models
- Understanding of cloud-native data architectures
- Experience collaborating with business stakeholders and product teams
- Strong analytical and problem-solving abilities
- Ability to design robust, maintainable, and scalable solutions
- Professional proficiency in Swedish and English
If this sounds interesting, please send your CV to cv@veritaz.se
