Senior Data Engineer
Workplace: Stockholm, Sweden
Expires: June 30, 2025
A Senior Data Engineer role at Trustly Group AB focusing on building a new AWS-based data platform to support operational data needs, analytics, and machine learning use cases, ensuring data infrastructure is robust, scalable and secure.
Main requirements:
  • Master's degree in Computer Science, Engineering or related field
  • Minimum 7 years experience as data engineer or data architect
  • Proficiency in designing and building complex data pipelines and processing systems
  • Experience with SQL/NoSQL databases such as PostgreSQL, Redshift, MongoDB
  • Experience building stream processing systems using Kafka
  • Understanding of data governance, ensuring data quality, security and compliance
  • Experience with cloud platforms like AWS or GCP
  • Proficiency in Python, SQL, dbt, Airflow, Airbyte, S3, Hudi, Athena, Kubernetes, and CI/CD processes
  • Familiarity with self-service reporting and machine learning data infrastructure prerequisites
  • Ability to thrive in a fast-paced and growing company environment
Responsibilities:
  • Design and develop Trustly's Data Platform on AWS
  • Build and maintain batch and streaming data pipelines from internal and external sources
  • Transform data from one or multiple sources to feed downstream applications
  • Optimize data processes for efficiency and scalability
  • Implement data security measures and access control to protect sensitive information
  • Participate in data governance and compliance to meet regulations
  • Provide technical expertise and guidance for data projects
  • Continuously optimize data architecture to support evolving needs
  • Identify new data use cases and collaborate with stakeholders to realize them
Required hard skills:
  • AWS data platform development
  • Data pipeline design and maintenance
  • SQL and NoSQL database management (PostgreSQL, Redshift, MongoDB)
  • Stream processing with Kafka
  • Python programming
  • dbt, Airflow, Airbyte usage
  • S3, Hudi, Athena familiarity
  • Kubernetes and CI/CD processes
Recommended hard skills:
  • Experience with GCP
  • Self-service reporting infrastructure
  • Machine learning data infrastructure knowledge
Soft skills:
  • Ability to work independently and take ownership
  • Highly motivated
  • Collaborative across organizational areas
  • Adaptability in a fast-paced environment
Coding languages:
  • Python
  • SQL
Frameworks:
  • dbt
  • Airflow
  • Airbyte
  • Kubernetes
Operating systems:
  • Cloud Platforms (AWS, GCP)
Natural languages:
  • English (Proficient)
Cultural skills:
  • Thriving in a fast growing company
  • Collaboration across diverse teams
  • Embracing continuous challenges and learning
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