Data Engineer

Role Overview

We are seeking a talented and experienced Data Engineer to join our growing data team. In this role, you will be instrumental in building, maintaining, and optimizing our data infrastructure, with a strong emphasis on DataOps principles. You will work closely with data analysts, and other engineers to ensure the reliability, scalability, and security of our data pipelines.

Key Responsibilities

• Translate the business requirements into technical specifications, in cooperation with the data product owner.
• Design, develop, and maintain robust and scalable data pipelines using Airflow.
• Utilize dbt for data transformation and modeling, ensuring data quality and consistency.
• Employ Terraform for infrastructure as code (IaC), automating the provisioning and management of our data infrastructure.
• Implement and maintain CI/CD pipelines for data engineering workflows.
• Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks.
• Implement data quality checks and monitoring to ensure data accuracy and reliability.
• Contribute to the development of data engineering best practices and standards.
• Manage and maintain data repositories using Git.
• Automate data-related tasks to improve efficiency and reduce manual effort.
• Cooperate with the support teams and provide L3 support to comply with predefined SLA’s
  
  

Key Qualifications

• University degree in computer science, engineering, or comparable field.
• 3-5 years of experience as a Data Engineer or in a similar role.
• Experience with data warehousing concepts and technologies.
• Hands-on experience with Google Cloud Platform (GCP) data services (e.g., BigQuery, Cloud Storage)
• Knowledge of dbt and version management tools (e.g. Git).
• Experience with infrastructure as code (IaC) using Terraform.
• Experience with workflow orchestration tools such as Airflow.
• Strong proficiency in Python and SQL.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
  
  

Preferred Qualifications

• Experience with CI/CD pipelines.
• Experience working with SAP platforms as data sources (e.g., SAP ECC, SAP S/4HANA, SAP BW, SAP Datasphere).
• Knowledge of SAP data structures and extraction methods.
• Knowledge of data visualization tools (e.g. Looker).
• Scrum methodology.