Devops Engineer AWS Cloud & Data Engineer

Devops Engineer AWS Cloud & Data Engineer Description About the Role

We are looking for a versatile Dev Ops Engineer to join our Area Risk Reporting team within Tribe External Reporting.

You will be responsible for building and maintaining our information factories — end-to-end data solutions that source, transform, and deliver high-quality, reportready data to the business. This role blends Dev Ops, data engineering, and cloud infrastructure, with a strong focus on both Azure and AWS.

You’ll work across the full lifecycle of data delivery — from infrastructure provisioning and data ingestion to transformation and reporting readiness.

Tribe External Reporting is responsible for ensuring our compliance with financial regulations and standards. The department manages the accurate and timely submission of regulatory reports to financial authorities. By applying advanced data analytics and reporting tools, it safeguards efficiency, transparency, and full adherence to regulatory requirements.

• Design and implement end-to-end data solutions that source, transform, and deliver data for reporting
• Collaborate with stakeholders to understand data requirements and translate them into scalable technical solutions
• Ensure data pipelines are reliable, secure, and optimized for performance

• Build and manage infrastructure in AWS and Azure using Infrastructure as Code (IaC) tools like Terraform, Cloud Formation, ARM and Bicep
• Configure networking, security, and access controls across cloud environments
• Ensure infrastructure supports data workloads and reporting performance

• Develop and maintain CI/CD pipelines for infrastructure and data deployments
• Automate testing, monitoring, and deployment workflows
• Implement logging, alerting, and observability for data and infrastructure components

• Work closely with developers, architects, and business stakeholders to align infrastructure and data solutions with reporting needs
• Ensure compliance with data governance, security, and regulatory requirements
• Document architecture, processes, and best practices for internal knowledge sharing

• Strong experience with AWS (e.g., S3, Glue, IAM, Lambda, VPC)
• Strong experience with Azure (e.g., Data Factory, Synapse, Key Vault, VNets, NSGs)
• Proficiency in Infrastructure as Code (Terraform, Bicep, ARM templates, Cloud Formation)
• Experience with CI/CD tools (Azure Dev Ops)
• Strong scripting skills (e.g., Python, Power Shell, Bash)
• Familiarity with data transformation tools (e.g., dbt, PySpark, SQL)
• Experience with MSSQL and Data Bricks
• Understanding of data modelling and data warehouse architecture

• Experience in risk or financial reporting environments
• Certifications in AWS and/or Azure (e.g., AWS Data Engineer, Azure Dev Ops Engineer)
• Exposure to multi-cloud or cloud migration projects

Contact:
Mees Vogelenzang

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