Data Modeler

Tasks

• Collaborate with our clients to design and build modern data platforms using a variety of technologies
• Help lead the design and implementation of complex, cloud-based data ingestion and transformation pipelines
• Implement scalable and secure Data Lakes / Warehouses
• Mentor and upskill other engineers, both client and internal
• Help drive effective development patterns and delivery practices
• Help maintain and improve our internal tools and design patterns
• Continually improve with our internal development program, including mentoring and paid training/certifications

Requirements

• Highly proficient with Python
• Extensive experience developing on AWS, including a broad understanding of the service offerings for that provider
• Excellent knowledge of software development best practices
• Experience building CICD pipelines using Jenkins
• Experience using Infrastructure-as-code tools (e.g. Terraform, Cloudformation)
• Advanced SQL skills, including query optimisation
• Experience with Data Vault is a must
• Experience with Azure is a must
• Extensive experience with structured, unstructured, and semi-structured data
• Experience working within an Agile environment (SAFe preferred), as well as a strong understanding of Agile principles and delivery practices
• Working knowledge of data regulations (e.g. GDPR)
• Very strong communication skills, including stakeholder management up to CXO level
• Preferably, experience working with the following:
• Containers (Docker preferred)
• Real-time/event-based data
• Big data products
• Data quality frameworks
• Orchestration tools (e.g. Airflow)

This is contract position that is only available to candidates authorised to work in the EU.

Zuletzt aktualisiert am 19.04.2024