Data Engineer

Technologies we use

Your responsibilities

• Work within Agile SCRUM methodologies using the Atlassian toolchain (JIRA, Confluence, GitHub, Git)
• Design, develop, and maintain a modern cloud-based data warehouse on Google Cloud Platform (GCP)
• Build and enhance data pipelines using Python, Java, and BigQuery SQL
• Leverage GCP services such as Cloud Build, Data Transfer, Workflows, Scheduler, and Cloud Functions
• Develop and manage data models and transformation layers using tools like dbt Cloud
• Implement and maintain Infrastructure as Code (IaC) using Terraform
• Contribute to the development of a scalable data platform supporting analytics, BI, and machine learning use cases
• Support the organization’s digital transformation by delivering modern data solutions
• Proactively propose and implement improvements in data architecture and engineering practices
• Collaborate with a cross-functional, international team including BI, Data Science, DevOps, and Software Engineering

Our requirements

• Openness to engage in continuous learning and agility in addressing business challenges;
• Experience in designing, developing, documenting, and maintaining software written in Python and/or Java as well as dataflows written in SQL
• Knowledge of different Data Modelling principles and selecting the right one depending on the needs of a consumer
• Feeling comfortable working with Linux, git, and Docker to extend and maintain our CI/CD workflows and pipelines or are you eager to dive into this topic
• Experience in working in cloud environments (preferably GCP or AWS)
• Experience or knowledge of Infrastructure-as-Code applications like Terraform and data transformation tools as dbt and Dataform
• Cultural awareness, sensitivity, and adaptability in building connections with people from diverse backgrounds
• Excel conceptual thinking and a proactive approach to decision-making, taking ownership to ensure project success.

This is how we organize our work

This is how we work